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Record W2004477447 · doi:10.7202/011484ar

L’agression indirecte : un indicateur d’inadaptation psychosociale chez les filles ?1

2005· article· fr· W2004477447 on OpenAlexaffvenue
Pierrette Verlaan, Michèle Déry, Jean Toupin, Robert Pauzé

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languagefr
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Les résultats de la présente étude, menée auprès de 191 filles d’âge scolaire primaire et de leurs familles accréditent l’hypothèse voulant que le développement des filles qui manifestent fréquemment des conduites agressives indirectes soit qualitativement différent de celui des filles non agressives, mais analogue à celui des filles directement agressives. Les résultats montrent que les filles manifestant des conduites agressives indirectes éprouvent significativement plus de difficultés sociales et de problèmes de comportements intériorisés et extériorisés que les filles non agressives. Leurs relations parentales sont également davantage détériorées. Toutefois, elles se distinguent des filles qui utilisent à la fois des conduites agressives directes et indirectes par la manifestation moindre de difficultés sociales et comportementales. Nos résultats indiquent qu’il importe de tenir compte de la présence des conduites agressives indirectes dans le dépistage et le développement des conduites mésadaptées chez les filles.

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)0.006
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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.190
GPT teacher head0.377
Teacher spread0.187 · 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

Citations3
Published2005
Admission routes2
Has abstractyes

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