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Record W4392750110 · doi:10.3917/vsoc.228.0027

Les négligences, entre contextes sociaux, enfants et familles

2024· article· fr· W4392750110 on OpenAlexaff
Chantal Zaouche-Gaudron, Carl Lacharité

Bibliographic record

VenueVie sociale · 2024
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La première visée de cet article est d’analyser les différentes définitions relatives aux maltraitances, violences et négligences faites aux jeunes enfants. Exercice difficile mais néanmoins nécessaire qui nécessite une démarche réflexive, interdisciplinaire et contextualisée afin d’appréhender, de façon spécifique, ce qui relève des négligences envers les enfants. Si les besoins des enfants sont évoqués dans ce type de définition, ceux-ci reposent sur une conception individualisante de l’exercice du rôle parental et des responsabilités parentales. Une telle conception constitue également une réduction ou une simplification de la complexité du modèle écosystémique et développemental des situations de négligences. Aussi, la deuxième partie de l’article développe-t-elle ce modèle afin de pouvoir appréhender les négligences dans l’articulation à opérer entre enfant, parent et espace social. Un tel modèle permet de saisir les mécanismes de production de ces situations et les expériences qu’elles suscitent chez les enfants et les parents. La négligence envers les enfants est, en effet, un problème social complexe qui résiste aux tentatives unidimensionnelles pour le résoudre.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.016
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.056
GPT teacher head0.386
Teacher spread0.330 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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