Bibliographic record
Abstract
Abstract From its early (post‐1492) incorporation into Europe's colonial empires until present times, the sociocultural demographic profiles of the (mostly) island territories in what can be collectively labeled as the English‐speaking Caribbean have been significantly shaped by waves upon waves of immigration (Conway 1989a; Marshall 1982: Richardson 1992). For centuries, migrants from all over the region have sought employment and opportunities for advancement “off the island,” both intra‐regionally and extra‐regionally, and remittances and return migrants are just two of the reciprocal consequences of this international mobility (Connell & Conway 2000; Conway 1993, 2007a). The long‐held, conventional view that international migrants from the peripheral global South – the English‐speaking Caribbean – into the advanced capitalist global North – United States, Canada, and the United Kingdom – are always destined to be either settlers or sojourners, has been found to be outdated. Caribbean migration scholars now view the intra‐regional and extra‐regional diaspora of significant proportions of the region's citizenry as highly fluid, flexible, and dynamic in its global reach and scope (Fog Olwig 1999, 2001; Foner 2001; Thomas‐Hope 1998; 2006).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".