Altérités : revue d'anthropologie du contemporain ; vol. 6, no 2, octobre 2009, Corps, santé, maladie : aux frontières du médical et du social
Bibliographic record
Abstract
Présentation. Une anthropologie médicale en mouvement / Vincent Duclos (Université de Montréal), Marie-Ève Carle (Université de Montréal) ; La question de l’autre dans les expériences-limite : à la recherche d’un regard dé-centré (Essai) / Ellen Corin (McGill University) ; Penser la douleur à la rencontre du culturel et du biologique : repères anthropologiques / Daniel Côté (Institut de recherche Robert-Sauvé en santé et en sécurité au travail) ; \nConnecting the micro and macro approaches : cultural stakes in health communication / Isaac Nahon-Serfaty (Université d’Ottawa), Rukhsana Ahmed (Université d’Ottawa), Sylvie Grosjean (Université d’Ottawa), Luc Bonneville (Université d’Ottawa) ; L’anthropologie face aux demandes du terrain : deux exemples d’implication dans le milieu médical / Michela Canevascini (Université de Lausanne), Rose-Anna Foley (Université de Lausanne) ; \nDes procès en chair et en songe. Sainteté et exorcisme à Bouya Omar et Sidi Chamharouch (Maroc) / Céline Aufauvre (Centre Jacques Berque, Laboratoire d’ethnologie et de sociologie comparative, Université Paris X – Nanterre) ; Le saint et l’ethnologue : sur les voies de l’ethno-ascèse (Essai) \n/ Zakaria Rhani (Princeton University) ; Teaching at the margins : experiences of anthropology and medicine in a middle eastern setting (Essai) / \nOmar Dewachi (Université de Montréal) ; À la marge. Risquer l’anthropologie. Entretien avec Philippe Bourgois / Nelson Arruda (Chercheur indépendant) ; Dans la désorientation, l’engagement. Entretien avec Mariella Pandolfi / Kim Turcot DiFruscia (Université de Montréal).
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".