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Record W4377084552 · doi:10.7202/1096943ar

Mieux comprendre les relations entre niveaux socioéconomiques, valeurs et principes éducatifs parentaux, performances scolaires et auto-évaluations de soi d’enfants d’âge scolaire

2023· article· fr· W4377084552 on OpenAlexvenueno aff
Christine Maintier, Daniel Alaphilippe

Bibliographic record

VenueRevue de psychoéducation · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologySocioeconomic statusValuation (finance)SociologyPopulationPhilosophyDemographyEconomics

Abstract

fetched live from OpenAlex

Cette étude se propose de vérifier dans un 1er temps, auprès d’une population de parents et d’enfants d’écoles élémentaires françaises, la validité des résultats présentés par Lautrey (1980), qui associaient niveau socioéconomique parental, et valeurs et principes éducatifs. Elle tente, de plus, d’étudier la proximité entre, valeurs et principes éducatifs, et, développement cognitif et affectif de l’enfant au travers de variables telles que les performances scolaires et les auto-évaluations de soi. Pour cet échantillon de 126 enfants âgés de 8 à 10 ans, les conclusions de Lautrey semblent globalement vérifiées, avec toutefois quelques nuances. Les analyses de correspondances permettent de mettre en évidence l’existence de relations complexes et évolutives entre les différentes variables. Si une certaine proximité est constatée entre niveau socioéconomique, valeurs éducatives et performances scolaires ; les relations avec le niveau d’auto-évaluation de soi, quant à elles, semble plus complexes et être dépendantes entre autre de l’âge des enfants.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.110
GPT teacher head0.406
Teacher spread0.295 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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