De Toro, Alfonso (dir.), Dossier "Nouvelles diasporas: Hospitalité et appartenance", Expressions maghrébines, vol. 13, n°1, été 2014
Bibliographic record
Abstract
Sommaire Introduction, Alfonso de Toro 1 ARTICLES Vers une stratégie des «diasporas performatives-hybrides». Théorie et pratique, Alfonso de Toro 11 Les diasporas de Frédéric Brenner et les pensées politiques de la différence (Derrida, Rancière), Joana Masó 35 Migration and the Inhospitable Reader in Leïla Sebbar's Le Silence des rives, Annedith M. Schneider 47 La littérature de la diaspora maghrébine au Québec: des trajectoires diverses et complexes, Lila Ibrahim-Lamrous 59 Les J...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.018 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.077 | 0.007 |
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".