"A war for a foreign woman" Gender, Power and Economic Tension in Negril
Bibliographic record
Abstract
This thesis investigates the intimate relationships between white foreign women and black Jamaican men in Negril, a transnational tourist town located on the western tip of Jamaica.Within the contexts of Negril, relationships between white foreign women and black Jamaican men are commonly considered suspect and ambiguous based on the frequency at which relationships shrouded in economic and intimate exchanges take place.Some female sex tourism scholars recognize foreign women as exerting their racial and economic power over local black men in the destination towns they visit, whereas other scholars suggest that local men exert their gender power over foreign women in their relationships.Upon closer examination of the everyday complex negotiations of power that take place within relationships between foreign women and Jamaican men in Negril, it became clear that the power that operates within the relationships is not straightforward.Both foreign women and Jamaican men exercise different forms of power in order to get what it is that they desire from their relationships.This complicates common misconceptions of foreign women as either wealthy and all powerful or as naïve victims of sexually aggressive Jamaican men, and calls for a more nuanced reading of the negotiations of power in the local contexts of Negril.Table of Contents Abstract……………………………………………………………………………………… ii Acknowledgements………………………………………………………………………….iii Table of Contents…………………………………………………………………………… iv List of Appendices…………………………………………………………………………... v Introduction………………………………………………………………………………….
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".