Positions interculturelles du chercheur dans la construction de la méthodologie : à propos d'une recherche en France et au Québec
Bibliographic record
Abstract
Résumé À travers d’une recherche en cours de réalisation en France et au Québec qui porte sur les processus identitaires de familles migrantes coréennes et des enfants de la deuxième génération, cet article présente brièvement la construction de la méthodologie et quelques résultats préliminaires. Adoptant des approches multiples comme les dynamiques langagières de la population ainsi que les modèles d’intégration des pays d’accueil, cette recherche suscite l’intrication des situations interculturelles dans lesquelles le chercheur se (re)trouve. Ce dernier constituant lui-même d’une complexité interculturelle, nous proposons une analyse sur son implication dans cette démarche épistémologique qui met en perspective trois pays.
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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 | 0.043 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.014 | 0.031 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".