Bibliographic record
Abstract
The reasons gay men seek out gay travel destinations has been well established in the literature. However, less research has been published on the consequences of that travel on the destinations themselves and the effect of gay tourism on the LGBTQ+ community as a whole. I use ethnographic research in Puerto Vallarta, Mexico, a popular international gay tourist destinations for American and Canadian gay men. I focus on how gay destinations are constructed as sites where members of the gay community can experience acceptance and inclusion and I ask the following questions, is this acceptance and inclusion dependent upon consumption? Are the tourist site and expectations for behavior in those sites oppressively normal? That is, does the site create a normative standard of behavior for gay tourists? Furthermore, while gay tourists may experience inclusion and a level of acceptance, how does gay tourism affect the destination site itself? Is this acceptance and inclusion problematized by larger systems of inequality such as class, gender, and race? Lastly, as members of a historically oppressed group, does and should gay tourism rise above its commodification to produce just, equitable relationships within and beyond the LGBTQ+ community including the environment?
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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 | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".