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Record W2954397283 · doi:10.82308/49650

Investigating the effects of heritage culture on problem behaviour and academic achievement in a specific First Nations community

2012· article· en· W2954397283 on OpenAlexaboutno aff
Lynda Simone Rochester

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAcademic achievementHumanitiesSocial psychologySociologyDevelopmental psychologyArt

Abstract

fetched live from OpenAlex

Cette étude a eu pour but d'examiner l'effet modérateur que le sens d'appartenance à sa culture a sur les comportements. L'étude regarde aussi si ce même sens d'appartenance a une influence positive sur le succès scolaire. Un groupe de 30 élèves des Premières Nations dans une école située dans une petite communauté située au nord de Montréal, a répondu à des questionnaires portant sur leurs comportements et leurs affiliations à leur culture. L'analyse des corrélations entre les variables précédemment mentionnées a produit un résultat significatif entre l'année scolaire et le comportement, mais une analyse de régression n'a pas eu de résultats concluants entre le succès scolaire et l'affiliation a sa culture. L'impact favorable qu'a l'affiliation culturelle sur le comportement est discuté. Le potentiel positif que peut exhorter l'affiliation culturelle sur le succès scolaire par l'attachement à son école et à ses parents, des programmes pédagogiques culturels et par le développement de l'estime de soi est aussi discuté.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.057
GPT teacher head0.313
Teacher spread0.255 · 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

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