Vers un usage renouvelé de la fiche Ageven dans l’analyse qualitative des biographies
Bibliographic record
Abstract
Cet article rappelle dans un premier temps les fondements de l’approche biographique, le paradigme des parcours de vie qui lui est associé et les origines de la fiche Ageven, outil développé pendant les années 1980 dans le cadre d’enquêtes rétrospectives et de l’analyse démographique des biographies. Nous présentons dans un deuxième temps une version renouvelée à usage qualitatif de cet instrument, en incluant des niveaux d’observation à la fois individuel, familial et contextuel, et en ajoutant le repérage de séquences dans les histoires de vie recueillies, à partir de l’identification des ruptures biographiques. La fiche Ageven, ainsi convertie simultanément en outil de représentation et d’analyse de données biographiques qualitatives, dévoile de larges possibilités d’application sur des problématiques démographiques et sociologiques variées, illustrées par l’exemple de la maternité adolescente au Mexique.
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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 | 0.089 | 0.129 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.009 | 0.041 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".