Gringo Love Stories of Sex Tourism in Brazil, by Marie-Eve Carrier-Moisan
Bibliographic record
Abstract
G ringo Love discusses the relationships between foreign tourists andBrazilian women in the construction of social mobility projects grounded on the sex and marriage markets.The book is based on the research conducted by the sociocultural anthropologist Marie-Eve Carrier-Moisan as part of her doctoral research and is presented in graphic novel format, illustrated by Débora Santos and adapted by William Flynn.The book is the third title in the University of Toronto Press' EthnoGRAPHIC series, which aims to bring up to the public new languages and forms of communication in anthropology and ethnography.Given the format and language, the book is intended for a general audience interested in learning about these relationships and about sexuality.As such, the simple and attractive language successfully communicates the more immediate purpose of the book.The book is presented in three sections: the graphic novel, a reading guide, and an appendix with theoretical-political discussions in the arena about sex tourism in the social sciences.The graphic novel illustrates the situations, subjects, and dynamics that constituted the relationship between men and women in Ponta Negra, a beach and neighborhood known for the presence of sex workers and tourists in search of romantic or sexual encounters.Professor Carrier-Moisan lived between 2007 and 2008 in Natal, northeastern Brazil.The 2000s was a period of intense relations between Brazilian women and foreign tourists due to the expansion of the Natal's urban structure and the new configuration of the tourism industry (24-25).In addition, it was also a period of disputes in Brazilian and international legislation around "sex tourism" and the production of new devices to deal with "human Thiago Oliveira 1 Anthropologica 63.2 (2021)
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".