Carbon: Preprint Drafts

Critical Thinking Semiotics Virtual Worlds AI

International Journal of Critical Thinking • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026

Logic Against Illusion: Thinking Carbon

S.O. Meone¹ D.J. Weaver² A.N. Other³

¹University of X · ²University of Y · ³University of Z

Abstract. This paper explores how critical thinking frameworks can illuminate meaning derived from the concept of Carbon. It examines how structured reasoning, problem-solving, metaphorical application and reflective analysis around Carbon can contribute to a deeper general understanding.

Keywords: CarbonFootprint, ChemicalElement, ClimateChange, Complexity, Conservation, Curiosity, Discovery, Environment, EnvironmentalJustice, Ethical, GreenNewDeal, GreenhouseGas, Invention, Knowledge, Nature, Pollution, RenewableEnergy, Responsibility, ScienceMatters, Stewardship, Sustainability, SustainableLiving

Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example

International Journal of Semiotics • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026

Mythologies of Carbon

S.O. Meone¹ D.J. Weaver² A.N. Other³

¹University of X · ²University of Y · ³University of Z

Abstract. This paper explores perception of symbols and diverse meanings associated with Carbon. It investigates how such symbols function across cultural, academic, social and thematic contexts to convey nuanced interpretations.

Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example

International Journal of Virtual Worlds • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026

Embodied Understanding: Step Inside Carbon

S.O. Meone¹ D.J. Weaver² A.N. Other³

¹University of X · ²University of Y · ³University of Z

Abstract. This paper examines the use of virtual worlds in exploring representation and influence of Carbon and the potential of Carbon-based thinking to reshape perceptions in both digital and real spaces.

Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example

International Journal of AI • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026

Prompt Libraries for Carbon

S.O. Meone¹ D.J. Weaver² A.N. Other³

¹University of X · ²University of Y · ³University of Z

Abstract. This paper investigates the application of artificial intelligence to understanding the conceptual space of Carbon, highlighting how AI-driven insights can uncover patterns, relationships, and transformative implications.

Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example