Journalism in a Small Place: Making Caribbean News Relevant, Comprehensive, and Independent
Bibliographic record
Abstract
Journalism in a Small Place explores the changes and challenges in journalism and communication in the Caribbean in the twenty-first century. Tracing the history of media in the English speaking Caribbean, this book provides insight into the development of these industries from their inception under British imperial rule to their current focus on advancing national development in the post-independence period. The influence of US media on media content and cultural tastes, and the lingering effects of colonialism on media are also investigated, drawing on globalization theories of hybridity. Interviews with journalists, editors, and media owners in English speaking Caribbean countries provide firsthand insight into the profession and practice of journalism in the region, highlighting the social and cultural context in which the media industries operate. Additionally, this book describes the current economic success of Caribbean journalism and the factors driving its new trends. It provides an overview of the current state of Caribbean journalism as it reflects on these questions: What is the purpose of journalism in small Caribbean countries? What are the challenges of practicing journalism in the Caribbean in the twenty-first century? What is the future of journalism in the Caribbean? In response, Storr develops a theoretical and practical response to concerns of professional ethics, responsible performance, and the training and education of journalists in the region. In doing so, Journalism in a Small Place elucidates the impact of journalism and communication on the social, political, economic and cultural aspects of Caribbean people's lived experiences, and journalism's power to promote and effect social change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.030 | 0.015 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".