Les ambiguïtés de l’hospitalité dans les <i>casas de migrantes</i> au Mexique
Bibliographic record
Abstract
À partir d’une étude ethnographique menée dans plusieurs refuges pour migrants, cet article montre qu’il existe un décalage entre le discours de l’hospitalité véhiculé dans ces espaces et les pratiques d’accueil caractérisées par des hiérarchies et une dimension de contrôle. Certaines ambigüités de l’hospitalité se révèlent ainsi dans l’équilibre précaire visant à construire un idéal égalitaire et fraternel, tout en y réemployant des relations de pouvoir issues d’un ordre profondément inégalitaire. En se penchant sur le point de vue des personnes migrantes, cet article montre aussi comment leur intégration de la providence divine aux logiques de l’hospitalité leur permet de minimiser ces ambigüités, et ce, même si elle réaffirme les relations asymétriques entre les groupes qui composent cette relation.
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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 | 0.023 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".