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Record W1976864229 · doi:10.1037/h0087206

Ressources personnelles et détresse psychologique en lien avec le rendement scolaire et le stress chez des élèves de quatrième secondaire.

2003· article· fr· W1976864229 on OpenAlexaffvenue
Michelle Dumont, Danielle Leclerc, Rollande Deslandes

Bibliographic record

VenueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · 2003
Typearticle
Languagefr
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Le but de cette etude est de verifier l'influence du sexe, de trois indicateurs de detresse psychologique, de deux ressources personnelles et d'une variable intitulee « etre inquiet par rapport aux examens » en fonction du rendement scolaire et du stress psychologique. Au total, 374 adolescents en quatrieme secondaire ont complete des questionnaires sur les symptomes psychosomatiques, la depression, la solitude, l'estime de soi, l'auto-efficacite et les tracas quotidiens. Le rendement scolaire correspond a la note moyenne obtenue au terme de la premiere etape de l'annee scolaire. Comparativement aux garcons, les filles se sentent davantage affectees par les tracas quotidiens, experimentent plus de detresse psychologique et disposent de moins de ressources personnelles. En revanche, elles presentent un rendement scolaire similaire aux garcons et ce, malgre un niveau d'inquietude plus eleve aux examens. D'autres resultats indiquent que le rendement scolaire ainsi que le stress psychologique sont significativement associes a l'ensemble des variables introduites dans les deux modeles de regression (7 % et 58 % de la variance expliquee, dans l'ordre).

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)0.001
metaresearch head score (Gemma)0.003
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.070
GPT teacher head0.335
Teacher spread0.265 · 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

Citations41
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportementSame topicResilience and Mental HealthFrench-language works237,207