A infância sob o olhar da expertise medical: 1930-1970 (Tradução). Childhood under the regard of medical expertise: 1930-1970 (Translation)
Bibliographic record
Abstract
Na medida em que a cultura das sociedades industriais entrou na era da expertise profissional, como a intervenção racional dos especialistas contribuiu para a construção social da infância? O objetivo desse artigo consiste em identificar dois modelos profissionais médicos que investiram no campo da infância em Quebec entre 1930 e 1970, e perceber sua influência na sua configuração. Na verdade, trata-se de compreender a maneira pela qual os conhecimentos científicos se tornam, ao longo do tempo, quadros de referência na educação das crianças.Given the way the culture of industrial society has influenced professional expertise, we can ourselves ask how the rational intervention of specialist has contributed to the social construction of the child. The purpose of this paper is outline the two medical models that defined childhood in Quebec, Canada between 1930-1970 as well to grasp their influence. The key point of his analysis is to show how scientific knowledge progressively became the reference in childhood education.Dans la mesure où la culture des sociétés industrielles est entrée dans le règne de l’expertise professionnelle, comment l’intervention rationnelle des spécialistes a-t-elle contribué à la construction sociale de l’enfance? L’objectif de cet article consiste à identifier deux modèles professionnels médicaux qui ont investi le domaine de l’enfance au Québec entre 1930 et 1970, et à saisir leur influence sur sa configuration. Il s’agit en effet de comprendre la façon dont les connaissances scientifiques deviennent, au fil du temps, des cadres de référence dans l’éducation des enfants.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".