L'analyse des correspondances multiples au service de l'enquête de terrain
Bibliographic record
Abstract
Avec le concours d’une enquête de la statistique publique et de l’analyse des correspondances multiples, l’outil présenté par cet article permet de produire sur les personnes formant un terrain d’enquête – ici les anciens élèves d’une même classe de terminale – un point de vue à la fois assez précis pour distinguer chaque individu et assez synthétique pour ne pas se perdre dans la complexité de l’information disponible. Nous détaillons les conditions d’emploi de cet outil et les précautions à prendre, et nous aboutissons à quelques conclusions sur la pertinence de la théorie de la légitimité culturelle à diverses échelles d’analyse et sur l’idée fausse qu’il existerait des méthodes « quantitatives » et « qualitatives ».
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".