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Record W2099890421 · doi:10.7202/900641ar

Les enfants de maternelle provenant des services de garde : perceptions des éducatrices à leur égard

2009· article· fr· W2099890421 on OpenAlexaffvenueabout
Raquel Betsalel‐Presser, Carole Lavoie, Marie Jacques

Bibliographic record

VenueRevue des sciences de l éducation · 2009
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cette recherche descriptive a pour but d’étudier la perception de 95 éducatrices de maternelle de la région de Montréal à l’égard de l’enfant ayant une expérience de garde en groupe. Les résultats indiquent que l’enfant recourt à l’éducatrice au besoin, mais qu’il conteste aussi ses consignes; qu’il réussit dans ses relations avec ses pairs, mais qu’il est souvent agressif aussi; qu’il préfère les activités manuelles et créatives aux activités formelles; qu’il est à l’aise et autonome. Les résultats montrent aussi le besoin d’une concertation entre les éducatrices des services de garde et celles des maternelles, en vue de faciliter la transition des enfants d’un milieu à l’autre.

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)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.218
GPT teacher head0.425
Teacher spread0.208 · 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

Citations2
Published2009
Admission routes3
Has abstractyes

Explore more

Same venueRevue des sciences de l éducation→Same topicChild Abuse and Trauma→French-language works237,207→