Bibliographic record
Abstract
In 2004--2005, under the general authority of the Director of the UNESCO Office for the Caribbean, a UNESCO consultant, and author of this article, with Mr. William Corry from the University of the West Indies, Mona, Kingston, Jamaica, have made a UNESCO Review of Information and Communication Technology (ICT) in education in the Caribbean included Jamaica, Barbados, Trinidad & Tobago, St. Lucia and Suriname [1]. It covered Primary, Secondary, Tertiary Education and Vocational Training Agencies recognizing the regional frameworks and aims of the Caribbean Community (CARICOM), the Caribbean Area Network for Quality Assurance in Tertiary Education (CANQUATE), the Caribbean Examinations Council (CXC), the Caribbean Knowledge and Learning Network (CKLN) and the Caribbean Association of National Training Agencies (CANTA). The goal of this project was to make an analysis of the ICT used in the Caribbean and to develop suggestions for improving the role of ICT in this region. Discussions took place with the Ministries of Education, Universities and Vocational training establishments to identify both current and future challenges and opportunities for improvement.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".