Bibliographic record
Abstract
Les stations en primatologie : étude des cas de Makokou et Paimpont (1962-1989), Guillaume Rey, Collection Acteurs de la science, L’Harmattan, Paris 2021. 241 p. / revu par Marine Larrivaz ; Études multidisciplinaires sur les liens entre Huronswendat et Iroquoiens du Saint-Laurent, Louis Lesage, Jean-François Richard, \nAlexandra Bédard-Daigle et Neha Gupta, Presses de l’université Laval, Québec, 2018. 150 p. / revu par Lucile Bousquié ; Histoire de la littérature inuite du Nunavik, Nelly Duvicq, Collection Droit au Pôle, Presses de l’Université du Québec, Québec, 2019. 248 p. / revu par Laura Maria Lopera Realpé ; World heritage craze in China : universal discourse, national culture, and local memory, Haiming Yan, Berghahn Books, New York, 2018. 242 p. / revu par Anne-Julie Robitaille ; Words and wounds : narratives of exile, Sean Akerman, \nOxford University Press, New York, 2019. 182 p. / revu par Anastasiia Mykolenko ; Les Hindous, les autres et l'ailleurs : frontières et relations, Mathieu Claveyrolas et Pierre-Yves Trouillet (dir.), Collection Purushartha no 38, Éditions de l’EHESS, \n2021. 367 p. / revu par Otávio Amaral Da Silva Corrêa ; Fieldwork in Timor-Leste : understanding social change through practice, Nygaard-Christensen Maj et Angie Bexley (dir.), Nias Press, Copenhague, 2017. 262 p. / revu par Renata Moreira Fontoura.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.622 | 0.499 |
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; the direct Gemma label and the distilled Codex classifier 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".