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Record W2767603980 · doi:10.4000/abpo.3700

De l’allaitement à l’éducation

2017· article· fr· W2767603980 on OpenAlexaff
Lucie Laumonier

Bibliographic record

VenueAnnales de Bretagne et des pays de l Ouest · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Appuyée sur l’étude d’actes notariés de la région de Montpellier à la fin du Moyen Âge, en particulier des testaments et des contrats de travail, cette recherche explore la manière dont parents et adultes envisageaient les soins aux enfants. Les enfants des archives notariées étaient l’objet de soins qui visaient leur survie ou leur subsistance (allaitement, alimentation) et de soins qui avaient pour but leur éducation (apprentissage de la lecture, apprentissage d’un métier). Les circonstances qui entouraient l’octroi des soins divergeaient d’un enfant à un autre : le milieu social des familles jouait un rôle déterminant à cet égard. Pour les familles pauvres de la région de Montpellier, prendre soin de son enfant pouvait signifier son placement dans un autre foyer. Dans les demeures aisées, l’embauche d’une nourrice à domicile ou d’un précepteur signifiait de la même façon les soins apportés au bien-être et au devenir des enfants. Le thème des soins aux enfants permet ici d’étudier les responsabilités parentales, leur signification et leurs implications pratiques.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.076
GPT teacher head0.310
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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