Gay African refugees in Brazil: a Diaspora?
Bibliographic record
Abstract
The number and diversity of refugees and asylum seekers in Brazil have been increasing exponentially since 2010 – the average of asylum seekers raised to 900 % in this period. The figure of lgbtiq refugees who asked for asylum in Brazil has grown. The first time the Brazilian government conferred refugee status for someone who migrated due to gender identity was in 2002 for a gay Colombian man. The majority of people who ask for asylum in Brazil are men that come from Africa, mainly Nigeria. This research analyses whether gay African refugees in Brazil can be considered a diasporic population. To meet this purpose, an ethnographic perspective was used taking city of São Paulo as the focus of research as it receives maximum asylum seekers. The results show that if we consider diasporas as communities who perceive themselves as a cultural construction of collective membership living outside their homeland, this cannot be applied to gay African refugees who live in Brazil, since the sexual cultural approach of African diasporas do not include non-heterosexuality. Most of them came by themselves to Brazil and do not want to keep in touch with their fellow citizens. This happens because other people who came from the original country but are not lgbtiq discriminate against them. The conclusion is that the gay African refugees do not form a diaspora in Brazil: most times they just do not want to be with their fellow countrymen and whenever they need to be, they hide their sexuality.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".