Altérités : revue d'anthropologie du contemporain ; vol. 9, no 1, février 2016, L'étranger
Bibliographic record
Abstract
L’étranger. Introduction et présentation du numéro / Enkelejda Sula Raxhimi (Université de Montréal) et Alexandra Dorca (anthropologue, Seattle) ; Vers un nouveau cosmopolitisme? Étrangers, pas ennemis / Étienne Balibar (Paris-Ouest Nanterre et Kingston University) ; Une réflexion sur la frontière. Entretien avec Sandro Mezzadra Lucio Castracani (Université de Montréal) ; Étranger(s) au travail. Notes ethnographiques / Lucio Castracani (Université de Montréal) ; Étranger de l’intérieur, Étranger d’ailleurs : Les mémoires graphiques de Spiegelman et de Sacco / Emanuelle Dufour (Université Concordia) ; Photographic Representation of the Other / Laura Ribero Rueda (Universidade Feevale) ; Faire l’histoire d’un temps immobile. L’étranger dans la cité, histoire de la Révolution française et temps présent / Sophie Wahnich (IIAC-TRAM/CNRS-EHESS) ; L’ennemi live. Entretien avec Mariella Pandolfi et Laurence McFalls / Enkelejda Sula-Raxhimi (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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".