Bibliographic record
Abstract
La comparaison des societes est une activite ordinaire, dont la pratique s’observe bien au-dela de ses usages savants. A partir de l’etude ethnographique d’une mobilisation pour le droit a l’education des enfants sans-papiers au Quebec, cet article se penche sur des usages militants de la comparaison. Il montre en particulier le role crucial que celle-ci a joue dans la construction du probleme public de la scolarisation des enfants sans-papiers au Quebec. Qu’il s’agisse de sensibiliser des publics, de definir les problemes, de les donner a voir, d’echafauder des plans d’action ou de monter des argumentaires convaincants, la reference aux experiences etrangeres (francaises, americaines et ontariennes notamment) est centrale. Ses usages se heurtent cependant a des enjeux de comparabilite qui ne sont pas sans faire penser a ceux rencontres par les chercheurs en sciences sociales. Le « comparatisme militant » se trouve ainsi au cœur de processus de diffusion et de circulation des causes et des problemes publics d’un espace social et national a un autre.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.017 | 0.017 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".