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Record W4386844285 · doi:10.7202/1101461ar

Les écrans chez les enfants d’âge préscolaire et leurs habiletés sociales : exploration de différents types d’utilisation des écrans et du rôle modérateur de la médiation parentale

2023· article· fr· W4386844285 on OpenAlexaffvenueabout
Claudia Turcotte, Amandine Baude, Kévin Lavoie

Bibliographic record

VenueService social · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversité LavalMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

L’utilisation des appareils numériques par les jeunes enfants est un sujet qui a pris beaucoup d’ampleur dans les dernières années. Bien que des avancées aient été faites sur le plan scientifique, on ne connaît toujours pas précisément leur influence sur le développement des enfants. Cette recherche s’intéresse à l’association entre l’utilisation des écrans par les enfants d’âge préscolaire et leurs habiletés sociales, en explorant le rôle modérateur de la médiation parentale dans ces relations. 116 parents ayant au moins un enfant âgé de 3 à 5 ans et vivant au Québec ont rempli un questionnaire en ligne. Aucun lien n’a été trouvé entre le temps d’écran et les habiletés sociales des enfants. En revanche, la supervision parentale est associée positivement aux habiletés sociales de l’enfant et ressort comme un modérateur significatif de la relation entre le temps d’écran et les habiletés sociales.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.349
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 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 routes3
Has abstractyes

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