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Record W4409645477 · doi:10.33423/jabe.v27i2.7608

Cultural Entrepreneurship and the Future of Calypso: Leveraging Cooperative Business Models and Emerging Technologies in Trinidad & Tobago

2025· article· en· W4409645477 on OpenAlexvenueno aff
Leon C. Prieto, Simone T. A. Phipps

Bibliographic record

VenueJournal of Applied Business and Economics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipBusiness modelBusinessEmerging technologiesKnowledge managementEconomic geographyGeographyMarketingComputer scienceFinanceArtificial intelligence

Abstract

fetched live from OpenAlex

This article examines the mostly untapped economic potential of Trinidad and Tobago’s vibrant cultural heritage, particularly focusing on calypso—a cornerstone of Trinbagonian identity. It highlights the decline of traditional calypso tents due to evolving challenges such as rising crime, shifting audience preferences, and financial instability while proposing a pathway for revitalization. By integrating cultural entrepreneurship, emerging technologies, and cooperative business models, the article offers a strategic vision to transform the cultural economy. The article explores how the fusion of technological innovation, such as metaverse platforms and augmented reality, with the cooperative ethos can elevate calypso from a local tradition to a global phenomenon. Anchored in cultural economy theory and drawing inspiration from successful global examples, this article emphasizes the role of collective action, institutional support, and strategic investment in creating a sustainable and inclusive cultural economy for Trinidad and Tobago.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.263
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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