“The darker the fruit”? Homonationalism, racialized homophobia, and neoliberal tourism in the St Lucian–US contact zone
Bibliographic record
Abstract
This article analyzes the discursive representations of a “homophobic hate crime” case against gay US tourists in the small-island state of St Lucia, especially within the mainstream US media. Drawing on the interrelated concepts of homonationalism, pinkwashing, and racialized homophobia, the study opens up the complexities of race, sexuality, and neoliberal globalization, and aims to transcend a “perpetrator/victim” mode of analysis. I argue that media representations of the case serve to “characterize” St Lucia as innately homophobic, as a sign of its incapacity for gender and sexual tolerance and therefore of its failed/misguided sovereignty. In doing so, these representations shore up claims about US exceptionalism through the racialization of homophobia and the production of white gay US subjects as exceptional global citizens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".