Altérités : revue d'anthropologie du contemporain ; vol. 5, no 2, Penser l'engagement
Bibliographic record
Abstract
Introduction. Penser l'engagement / Chowra Makaremi (Université de Montréal), Léa Kalaora (Université de Montréal) ; Engagement, embodiment, distance, un anthropologue dans la colonie pénitentiaire / Filippo Furri (Université de Montréal) ; Engaging with silence, interview with Vincent Crapanzano / Chowra Makaremi (Université de Montréal) ; Comment sauver le commun du communisme? Une étude sur le volontarisme révolutionnaire et sa métaphysique de la subjectivité / Erik Bordeleau (Université de Montréal) ; La mise à distance familière : dénouer les touillons du terrain pour tisser les fils de l’écriture / Sarah Carton de Grammont (EHESS-Paris, LAIOS-CNRS) ; L’utilisation de données ethnographiques vidéo à des fins de luttes territoriales : accident de terrain ou juste retour à la communauté? / Maude Désilets (Collège André-Laurendeau) ; Re-signification of political borders and criminalization of migrants in the MERCOSUR : do Argentinean anthropologists have anything to say? / Aranzazu Recalde (Université de Montréal) ; Compte rendu. Noir Canada, pillage, corruption et criminalité en Afrique, Alain Deneault avec Delphine Abadie et William Sacer, Éditions Ecosociété, Montreal, 2008 / Enriqueta Sugasti ; Question de méthode… à propos de Noir Canada, Pillage, corruption et criminalité en Afrique. Entretien avec Alain Deneault / Chowra Makaremi (Université de Montréal) ; Note de recherche. Comment mener une ethnographie au Chiapas? Entre engagements et désengagements sur un terrain fortement politisé / Sabrina Melenotte (EHESS-Paris, LAIOS-CNRS)
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".