L’anthropologie du contact : actes du 2e colloque du département d’anthropologie ; Montréal, Canada, 29 février 1996
Bibliographic record
Abstract
En guise d'introduction / Norman Clermont ; Promenades ethnographiques autour du concept de "contact" / Gilles Bibeau, Ph.D., Université Laval ; Contact et pluriethnicité / Deirdre Meintel, Ph.D., Université Brown ; Parlant de contact, parlons pidgin / Pierrette Thibault, Ph.D., Université de Montréal ; Nakh *Dali "dieu" > svane Dael "déesse-protectrice du gibier cornu" / Kevin Tuite, Ph.D., Université de Chicago ; L'île Noire revisitée : une hypothèse sur des symboles identitaires écossais / Roland Viau, Ph.D., Université de Montréal ; Contacts et étoffes d'écorces battue / Paul Tolstoy, Ph.D., University Columbia ; Le contact avec de nouveaux agents infectieux dans le Nord-Est américain / Robert Larocque, Ph.D., Université de Montréal ; Le mythe comme outil politique : contact et intégration dans l'empire inca / Claude Gélinas, étudiant (Ph.D.), Université de Montréal ; Traditions et transformations lors des contacts : deux exemples tirés de l'archéologie du Nord-Est nord-américain / Jean-François Moreau, Ph.D., Université de Montréal ; Les multiples cuisines du Mexique : reflet d'une société vivante et en devenir / Louise I. Paradis, Ph.D., Université Yale ; Représentation du contact entre les primatologues et leurs sujets / Pascale Sicotte, Ph.D., Université de Montréal ; Le contact avec les Vikings / Norman Clermont, Ph.D., Université de Montréal
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.006 |
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".