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Record W7020375498

La relation entre la réactivité comportementale et l'activité cardiaque à 5 mois

2020· other· fr· W7020375498 on OpenAlexaboutno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2020
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBehavioral analysisBurn outSelf evaluation
DOInot available

Abstract

fetched live from OpenAlex

L'objectif général de ce mémoire est d’examiner la relation entre l'activité cardiaque de base d'enfants de 5 mois et leur réactivité comportementale en contexte de non-familiarité. Il s'inscrit dans la foulée des travaux de Kagan et ses collaborateurs et recourt à des méthodes de codification et d'analyse de données similaires à celles utilisées dans ces travaux. Arrimée à l’Étude des jumeaux nouveau-nés du Québec (É.J.N.Q.), la présente étude porte sur un sous-échantillon des 642 enfants y participant. Les jumeaux, accompagnés de leurs parents, sont rencontrés en laboratoires afin de subir diverses évaluations physiologiques et psychologiques dont une situation expérimentale destinée à susciter la réactivité comportementale (extraction salivaire) ainsi qu’une procédure mesurant l’activité cardiaque de base (procédure de Mezzacappa). Aucune relation significative claire n’apparaît entre les variables comportementales et l’activité cardiaque. Ces résultats sont discutés à la lumière de considérations méthodologiques et théoriques pouvant être mises en cause.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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