A model of large-scale thematic structure Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1080/09298215.2021.1930062
The coherent organisation of thematic material into large-scale structures within a composition is an important concept in both traditional and cognitive theories of music. However, empirical evidence supporting their perception is scarce. Providing a more nuanced approach, this paper introduces a computational model of hypothesised cognitive mechanisms underlying perception of large-scale thematic structure. Repetition detection based on statistical learning forms the model's foundation, hypothesising that predictability arising from repetition creates perceived thematic coherence. Measures are produced that characterise structural properties of a corpus of 623 monophonic compositions. Exploratory analysis reveals the extent to which these measures vary systematically and independently.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/09298215.2021.1930062
- https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=true
- OA Status
- hybrid
- Cited By
- 15
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3198475123
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3198475123Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/09298215.2021.1930062Digital Object Identifier
- Title
-
A model of large-scale thematic structureWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-05-27Full publication date if available
- Authors
-
Edward T. R. Hall, Marcus T. PearceList of authors in order
- Landing page
-
https://doi.org/10.1080/09298215.2021.1930062Publisher landing page
- PDF URL
-
https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=trueDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=trueDirect OA link when available
- Concepts
-
Thematic map, Predictability, Coherence (philosophical gambling strategy), Perception, Computer science, Thematic structure, Cognitive psychology, Scale (ratio), Cognition, Cognitive science, Repetition (rhetorical device), Thematic analysis, Empirical research, Natural language processing, Artificial intelligence, Psychology, Linguistics, Epistemology, Mathematics, Qualitative research, Sociology, Cartography, Programming language, Philosophy, Neuroscience, Statistics, Geography, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 14, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3198475123 |
|---|---|
| doi | https://doi.org/10.1080/09298215.2021.1930062 |
| ids.doi | https://doi.org/10.1080/09298215.2021.1930062 |
| ids.mag | 3198475123 |
| ids.openalex | https://openalex.org/W3198475123 |
| fwci | 0.14397953 |
| type | article |
| title | A model of large-scale thematic structure |
| awards[0].id | https://openalex.org/G1697384855 |
| awards[0].funder_id | https://openalex.org/F4320334627 |
| awards[0].display_name | |
| awards[0].funder_award_id | EP/M507246/1 |
| awards[0].funder_display_name | Engineering and Physical Sciences Research Council |
| biblio.issue | 3 |
| biblio.volume | 50 |
| biblio.last_page | 241 |
| biblio.first_page | 220 |
| topics[0].id | https://openalex.org/T11309 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9994999766349792 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1711 |
| topics[0].subfield.display_name | Signal Processing |
| topics[0].display_name | Music and Audio Processing |
| topics[1].id | https://openalex.org/T10788 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9994000196456909 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Neuroscience and Music Perception |
| topics[2].id | https://openalex.org/T11349 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9936000108718872 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Music Technology and Sound Studies |
| funders[0].id | https://openalex.org/F4320334627 |
| funders[0].ror | https://ror.org/0439y7842 |
| funders[0].display_name | Engineering and Physical Sciences Research Council |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C93692415 |
| concepts[0].level | 2 |
| concepts[0].score | 0.693392276763916 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1502030 |
| concepts[0].display_name | Thematic map |
| concepts[1].id | https://openalex.org/C197640229 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6726866364479065 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2534066 |
| concepts[1].display_name | Predictability |
| concepts[2].id | https://openalex.org/C2781181686 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6451356410980225 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q4226068 |
| concepts[2].display_name | Coherence (philosophical gambling strategy) |
| concepts[3].id | https://openalex.org/C26760741 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6186639070510864 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q160402 |
| concepts[3].display_name | Perception |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.6131928563117981 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C2778109090 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5221734046936035 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7781195 |
| concepts[5].display_name | Thematic structure |
| concepts[6].id | https://openalex.org/C180747234 |
| concepts[6].level | 1 |
| concepts[6].score | 0.5162772536277771 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[6].display_name | Cognitive psychology |
| concepts[7].id | https://openalex.org/C2778755073 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5130406618118286 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[7].display_name | Scale (ratio) |
| concepts[8].id | https://openalex.org/C169900460 |
| concepts[8].level | 2 |
| concepts[8].score | 0.5124945640563965 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2200417 |
| concepts[8].display_name | Cognition |
| concepts[9].id | https://openalex.org/C188147891 |
| concepts[9].level | 1 |
| concepts[9].score | 0.47274884581565857 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q147638 |
| concepts[9].display_name | Cognitive science |
| concepts[10].id | https://openalex.org/C2776141515 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4518047869205475 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1274479 |
| concepts[10].display_name | Repetition (rhetorical device) |
| concepts[11].id | https://openalex.org/C74196892 |
| concepts[11].level | 3 |
| concepts[11].score | 0.43047815561294556 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7781188 |
| concepts[11].display_name | Thematic analysis |
| concepts[12].id | https://openalex.org/C120936955 |
| concepts[12].level | 2 |
| concepts[12].score | 0.41510629653930664 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2155640 |
| concepts[12].display_name | Empirical research |
| concepts[13].id | https://openalex.org/C204321447 |
| concepts[13].level | 1 |
| concepts[13].score | 0.36098742485046387 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[13].display_name | Natural language processing |
| concepts[14].id | https://openalex.org/C154945302 |
| concepts[14].level | 1 |
| concepts[14].score | 0.3564998507499695 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[14].display_name | Artificial intelligence |
| concepts[15].id | https://openalex.org/C15744967 |
| concepts[15].level | 0 |
| concepts[15].score | 0.31577596068382263 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[15].display_name | Psychology |
| concepts[16].id | https://openalex.org/C41895202 |
| concepts[16].level | 1 |
| concepts[16].score | 0.23380696773529053 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[16].display_name | Linguistics |
| concepts[17].id | https://openalex.org/C111472728 |
| concepts[17].level | 1 |
| concepts[17].score | 0.1654823124408722 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[17].display_name | Epistemology |
| concepts[18].id | https://openalex.org/C33923547 |
| concepts[18].level | 0 |
| concepts[18].score | 0.1187954843044281 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[18].display_name | Mathematics |
| concepts[19].id | https://openalex.org/C190248442 |
| concepts[19].level | 2 |
| concepts[19].score | 0.10918065905570984 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q839486 |
| concepts[19].display_name | Qualitative research |
| concepts[20].id | https://openalex.org/C144024400 |
| concepts[20].level | 0 |
| concepts[20].score | 0.10631760954856873 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[20].display_name | Sociology |
| concepts[21].id | https://openalex.org/C58640448 |
| concepts[21].level | 1 |
| concepts[21].score | 0.08342176675796509 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[21].display_name | Cartography |
| concepts[22].id | https://openalex.org/C199360897 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[22].display_name | Programming language |
| concepts[23].id | https://openalex.org/C138885662 |
| concepts[23].level | 0 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[23].display_name | Philosophy |
| concepts[24].id | https://openalex.org/C169760540 |
| concepts[24].level | 1 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[24].display_name | Neuroscience |
| concepts[25].id | https://openalex.org/C105795698 |
| concepts[25].level | 1 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[25].display_name | Statistics |
| concepts[26].id | https://openalex.org/C205649164 |
| concepts[26].level | 0 |
| concepts[26].score | 0.0 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[26].display_name | Geography |
| concepts[27].id | https://openalex.org/C36289849 |
| concepts[27].level | 1 |
| concepts[27].score | 0.0 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q34749 |
| concepts[27].display_name | Social science |
| keywords[0].id | https://openalex.org/keywords/thematic-map |
| keywords[0].score | 0.693392276763916 |
| keywords[0].display_name | Thematic map |
| keywords[1].id | https://openalex.org/keywords/predictability |
| keywords[1].score | 0.6726866364479065 |
| keywords[1].display_name | Predictability |
| keywords[2].id | https://openalex.org/keywords/coherence |
| keywords[2].score | 0.6451356410980225 |
| keywords[2].display_name | Coherence (philosophical gambling strategy) |
| keywords[3].id | https://openalex.org/keywords/perception |
| keywords[3].score | 0.6186639070510864 |
| keywords[3].display_name | Perception |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.6131928563117981 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/thematic-structure |
| keywords[5].score | 0.5221734046936035 |
| keywords[5].display_name | Thematic structure |
| keywords[6].id | https://openalex.org/keywords/cognitive-psychology |
| keywords[6].score | 0.5162772536277771 |
| keywords[6].display_name | Cognitive psychology |
| keywords[7].id | https://openalex.org/keywords/scale |
| keywords[7].score | 0.5130406618118286 |
| keywords[7].display_name | Scale (ratio) |
| keywords[8].id | https://openalex.org/keywords/cognition |
| keywords[8].score | 0.5124945640563965 |
| keywords[8].display_name | Cognition |
| keywords[9].id | https://openalex.org/keywords/cognitive-science |
| keywords[9].score | 0.47274884581565857 |
| keywords[9].display_name | Cognitive science |
| keywords[10].id | https://openalex.org/keywords/repetition |
| keywords[10].score | 0.4518047869205475 |
| keywords[10].display_name | Repetition (rhetorical device) |
| keywords[11].id | https://openalex.org/keywords/thematic-analysis |
| keywords[11].score | 0.43047815561294556 |
| keywords[11].display_name | Thematic analysis |
| keywords[12].id | https://openalex.org/keywords/empirical-research |
| keywords[12].score | 0.41510629653930664 |
| keywords[12].display_name | Empirical research |
| keywords[13].id | https://openalex.org/keywords/natural-language-processing |
| keywords[13].score | 0.36098742485046387 |
| keywords[13].display_name | Natural language processing |
| keywords[14].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[14].score | 0.3564998507499695 |
| keywords[14].display_name | Artificial intelligence |
| keywords[15].id | https://openalex.org/keywords/psychology |
| keywords[15].score | 0.31577596068382263 |
| keywords[15].display_name | Psychology |
| keywords[16].id | https://openalex.org/keywords/linguistics |
| keywords[16].score | 0.23380696773529053 |
| keywords[16].display_name | Linguistics |
| keywords[17].id | https://openalex.org/keywords/epistemology |
| keywords[17].score | 0.1654823124408722 |
| keywords[17].display_name | Epistemology |
| keywords[18].id | https://openalex.org/keywords/mathematics |
| keywords[18].score | 0.1187954843044281 |
| keywords[18].display_name | Mathematics |
| keywords[19].id | https://openalex.org/keywords/qualitative-research |
| keywords[19].score | 0.10918065905570984 |
| keywords[19].display_name | Qualitative research |
| keywords[20].id | https://openalex.org/keywords/sociology |
| keywords[20].score | 0.10631760954856873 |
| keywords[20].display_name | Sociology |
| keywords[21].id | https://openalex.org/keywords/cartography |
| keywords[21].score | 0.08342176675796509 |
| keywords[21].display_name | Cartography |
| language | en |
| locations[0].id | doi:10.1080/09298215.2021.1930062 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S102275153 |
| locations[0].source.issn | 0929-8215, 1744-5027 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0929-8215 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of New Music Research |
| locations[0].source.host_organization | https://openalex.org/P4310319847 |
| locations[0].source.host_organization_name | Routledge |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319847 |
| locations[0].source.host_organization_lineage_names | Routledge |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=true |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of New Music Research |
| locations[0].landing_page_url | https://doi.org/10.1080/09298215.2021.1930062 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5075315085 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-8268-5052 |
| authorships[0].author.display_name | Edward T. R. Hall |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I166337079 |
| authorships[0].affiliations[0].raw_affiliation_string | Queen Mary University of London, London, UK |
| authorships[0].institutions[0].id | https://openalex.org/I166337079 |
| authorships[0].institutions[0].ror | https://ror.org/026zzn846 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I124357947, https://openalex.org/I166337079 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | Queen Mary University of London |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Edward T. R. Hall |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Queen Mary University of London, London, UK |
| authorships[1].author.id | https://openalex.org/A5046843039 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1282-431X |
| authorships[1].author.display_name | Marcus T. Pearce |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I166337079 |
| authorships[1].affiliations[0].raw_affiliation_string | Queen Mary University of London, London, UK |
| authorships[1].institutions[0].id | https://openalex.org/I166337079 |
| authorships[1].institutions[0].ror | https://ror.org/026zzn846 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I124357947, https://openalex.org/I166337079 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | Queen Mary University of London |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Marcus T. Pearce |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Queen Mary University of London, London, UK |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=true |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A model of large-scale thematic structure |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11309 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9994999766349792 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1711 |
| primary_topic.subfield.display_name | Signal Processing |
| primary_topic.display_name | Music and Audio Processing |
| related_works | https://openalex.org/W2355469585, https://openalex.org/W2359488764, https://openalex.org/W2918376031, https://openalex.org/W2608400158, https://openalex.org/W2047159566, https://openalex.org/W2367870791, https://openalex.org/W1520346956, https://openalex.org/W2019023718, https://openalex.org/W2368807566, https://openalex.org/W2364723861 |
| cited_by_count | 15 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 14 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1080/09298215.2021.1930062 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S102275153 |
| best_oa_location.source.issn | 0929-8215, 1744-5027 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0929-8215 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of New Music Research |
| best_oa_location.source.host_organization | https://openalex.org/P4310319847 |
| best_oa_location.source.host_organization_name | Routledge |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319847 |
| best_oa_location.source.host_organization_lineage_names | Routledge |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=true |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of New Music Research |
| best_oa_location.landing_page_url | https://doi.org/10.1080/09298215.2021.1930062 |
| primary_location.id | doi:10.1080/09298215.2021.1930062 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S102275153 |
| primary_location.source.issn | 0929-8215, 1744-5027 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0929-8215 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of New Music Research |
| primary_location.source.host_organization | https://openalex.org/P4310319847 |
| primary_location.source.host_organization_name | Routledge |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319847 |
| primary_location.source.host_organization_lineage_names | Routledge |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.tandfonline.com/doi/pdf/10.1080/09298215.2021.1930062?needAccess=true |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of New Music Research |
| primary_location.landing_page_url | https://doi.org/10.1080/09298215.2021.1930062 |
| publication_date | 2021-05-27 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W2128728535, https://openalex.org/W2581526324, https://openalex.org/W2037047952, https://openalex.org/W2480824192, https://openalex.org/W2169574914, https://openalex.org/W2986357843, https://openalex.org/W2089319476, https://openalex.org/W2111066885, https://openalex.org/W2014775364, https://openalex.org/W2004462227, https://openalex.org/W2049633694, https://openalex.org/W2170960708, https://openalex.org/W1972659678, https://openalex.org/W2154041892, https://openalex.org/W2089617138, https://openalex.org/W2504161578, https://openalex.org/W2612442104, https://openalex.org/W2981670329, https://openalex.org/W4251953545, https://openalex.org/W1994326431, https://openalex.org/W2117686289, https://openalex.org/W2158826331, https://openalex.org/W2530592553, https://openalex.org/W2476506549, https://openalex.org/W2490863465, https://openalex.org/W2110925828, https://openalex.org/W2260437991, https://openalex.org/W2132429472, https://openalex.org/W2023641336, https://openalex.org/W653979676, https://openalex.org/W1970947567, https://openalex.org/W2988034979, https://openalex.org/W2006274395, https://openalex.org/W6674998358, https://openalex.org/W2330969578, https://openalex.org/W6968093243, https://openalex.org/W2965547306, https://openalex.org/W2011498839, https://openalex.org/W2068819939, https://openalex.org/W2800976201, https://openalex.org/W2601939319, https://openalex.org/W2073695623, https://openalex.org/W2164898340, https://openalex.org/W198470474, https://openalex.org/W2769788077, https://openalex.org/W4300672471, https://openalex.org/W2013689035, https://openalex.org/W4230206067, https://openalex.org/W2963520031, https://openalex.org/W2128434178, https://openalex.org/W2889453039, https://openalex.org/W1987399069, https://openalex.org/W2078009352, https://openalex.org/W2085778999, https://openalex.org/W2615196624, https://openalex.org/W2033936691, https://openalex.org/W1997689732, https://openalex.org/W2023723978, https://openalex.org/W1531806964, https://openalex.org/W4206074964, https://openalex.org/W610251740, https://openalex.org/W1561949603, https://openalex.org/W616239202, https://openalex.org/W4214564655 |
| referenced_works_count | 64 |
| abstract_inverted_index.a | 10, 33, 40, 81 |
| abstract_inverted_index.an | 13 |
| abstract_inverted_index.in | 16 |
| abstract_inverted_index.is | 12, 30 |
| abstract_inverted_index.of | 3, 22, 43, 49, 80, 83 |
| abstract_inverted_index.on | 56 |
| abstract_inverted_index.to | 92 |
| abstract_inverted_index.623 | 84 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 19, 98 |
| abstract_inverted_index.are | 74 |
| abstract_inverted_index.the | 60, 90 |
| abstract_inverted_index.both | 17 |
| abstract_inverted_index.from | 67 |
| abstract_inverted_index.into | 6 |
| abstract_inverted_index.more | 34 |
| abstract_inverted_index.that | 64, 76 |
| abstract_inverted_index.this | 37 |
| abstract_inverted_index.vary | 96 |
| abstract_inverted_index.based | 55 |
| abstract_inverted_index.forms | 59 |
| abstract_inverted_index.model | 42 |
| abstract_inverted_index.paper | 38 |
| abstract_inverted_index.their | 28 |
| abstract_inverted_index.these | 94 |
| abstract_inverted_index.which | 93 |
| abstract_inverted_index.corpus | 82 |
| abstract_inverted_index.extent | 91 |
| abstract_inverted_index.music. | 23 |
| abstract_inverted_index.within | 9 |
| abstract_inverted_index.arising | 66 |
| abstract_inverted_index.concept | 15 |
| abstract_inverted_index.creates | 69 |
| abstract_inverted_index.model's | 61 |
| abstract_inverted_index.nuanced | 35 |
| abstract_inverted_index.reveals | 89 |
| abstract_inverted_index.scarce. | 31 |
| abstract_inverted_index.However, | 24 |
| abstract_inverted_index.Measures | 73 |
| abstract_inverted_index.analysis | 88 |
| abstract_inverted_index.coherent | 1 |
| abstract_inverted_index.evidence | 26 |
| abstract_inverted_index.learning | 58 |
| abstract_inverted_index.material | 5 |
| abstract_inverted_index.measures | 95 |
| abstract_inverted_index.produced | 75 |
| abstract_inverted_index.thematic | 4, 51, 71 |
| abstract_inverted_index.theories | 21 |
| abstract_inverted_index.Providing | 32 |
| abstract_inverted_index.approach, | 36 |
| abstract_inverted_index.cognitive | 20, 45 |
| abstract_inverted_index.detection | 54 |
| abstract_inverted_index.empirical | 25 |
| abstract_inverted_index.important | 14 |
| abstract_inverted_index.perceived | 70 |
| abstract_inverted_index.Repetition | 53 |
| abstract_inverted_index.coherence. | 72 |
| abstract_inverted_index.introduces | 39 |
| abstract_inverted_index.mechanisms | 46 |
| abstract_inverted_index.monophonic | 85 |
| abstract_inverted_index.perception | 29, 48 |
| abstract_inverted_index.properties | 79 |
| abstract_inverted_index.repetition | 68 |
| abstract_inverted_index.structural | 78 |
| abstract_inverted_index.structure. | 52 |
| abstract_inverted_index.structures | 8 |
| abstract_inverted_index.supporting | 27 |
| abstract_inverted_index.underlying | 47 |
| abstract_inverted_index.Exploratory | 87 |
| abstract_inverted_index.composition | 11 |
| abstract_inverted_index.foundation, | 62 |
| abstract_inverted_index.large-scale | 7, 50 |
| abstract_inverted_index.statistical | 57 |
| abstract_inverted_index.traditional | 18 |
| abstract_inverted_index.characterise | 77 |
| abstract_inverted_index.hypothesised | 44 |
| abstract_inverted_index.organisation | 2 |
| abstract_inverted_index.compositions. | 86 |
| abstract_inverted_index.computational | 41 |
| abstract_inverted_index.hypothesising | 63 |
| abstract_inverted_index.independently. | 99 |
| abstract_inverted_index.predictability | 65 |
| abstract_inverted_index.systematically | 97 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5075315085 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I166337079 |
| citation_normalized_percentile.value | 0.45786984 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |