Transmission à rebours, filiation inversée, socialisation ascendante : regards renversés sur les rapports de générations
Bibliographic record
Abstract
Cet article introductif propose un aperçu de la situation présente de la recherche en sciences sociales sur la question des rapports de génération étudiés dans le sens inverse au sens habituel, c’est-à-dire dans le sens enfants-parents. Comment la recherche traite-t-elle cette importante question de la transmission à rebours, de la socialisation inversée, de la filiation ascendante, en bref comment traite-t-elle cette question : que font les enfants à leurs parents et à leur famille? Il propose ensuite de réfléchir au contexte actuel de l’accélération des savoirs : quel impact la société de l’information multiconnectée peut-elle avoir sur les rapports parents-enfants en ce qui concerne la transmission et la socialisation, précisément? Enfin, nous reviendrons sur les « trouvailles », sur les principales découvertes que les auteurs de ce numéro d’Enfances Familles Générations ont retirées de l’exercice de renversement du regard auquel ils se sont prêtés.
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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".