Bibliographic record
Abstract
Previous speakers in this series addressed the celebrated contribution of Sir Arthur Lewis to intellectual and public life in the Caribbean: as scholar, teacher, administrator, and role model to a remarkably creative generation of West Indian economists. In his inaugural address, Rex Nettleford, reminded us that this eminent economist and Nobel Laureate was, in the final analysis, a great educator and guru to his people both in the Caribbean and the Third World who perceived their future and any hope of redemption to rest firmly on the exercise of their intellect and their imagination. I thank the Eastern Caribbean Central Bank for the opportunity to join Norman Girvan, Alistair McIntyre, and Lloyd Best in paying my respects to the memory of Sir Arthur Lewis-illustrious son of the Caribbean, public intellectual and development economist supreme.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".