Bibliographic record
Abstract
Neste texto apresento perspectivas e abordagens importantes no debate internacional sobre o tráfico de pessoas, e sublinho alguns dos principais pontos de crítica sobre o referencial contemporâneo hegemônico, pontos esses articulados através de projetos de pesquisa-ação e de intervenções contra o tráfico nas bases da sociedade. Argumento que, a despeito de mudanças substanciais no entendimento global sobre o tráfico, fortemente influenciadas por dois discursos feministas claramente diferentes (feminismo radical e feminismo transnacional), muito do que se busca hoje em nome de uma guerra ao tráfico tem conseqüências problemáticas para comunidades pobres ao redor do mundo, e tem implicações em termos de raça e gênero. As políticas norte-americanas são aqui trazidas ao debate para ilustrar algumas dessas tendências.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.024 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".