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Record W7161958140 · doi:10.82308/20265

Parents' perceptions of adolescent gambling behavior: a Canadian national study

2009· dissertation· en· W7161958140 on OpenAlexaboutno aff
Colin Campbell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)Youth participationPerception

Abstract

fetched live from OpenAlex

La participation des adolescents aux jeux d'argent est un phénomène inquiétant. Des résultats de recherche ont souligné le fait que les adolescents croient que leurs parents ne se préoccupent pas ou se préoccupent peu de leur participation à des jeux d'argent. La présente étude examine les attitudes parentales à l'égard de la participation des mineurs à ces activités, en comparaison avec d'autres problématiques adolescentes, la participation des adultes à des jeux d'argent en compagnie de leurs adolescents, l'éducation des parents et leur sensibilisation aux problèmes liés à la participation aux jeux d'argent.Au moyen de l'Internet, 2 710 parents canadiens d'adolescents âgés entre 13 et 18 ans ont été invités à participer à l'étude. Les résultats montrent que la participation des adolescents aux jeux d'argent est une problématique jugée peu importante ou peu préoccupante par la majorité des parents, en comparaison à d'autres problématiques adolescentes. Également, plusieurs parents rapportent avoir offert des billets de loterie à leurs enfants, qui, à leurs dires, n'auraient pas reçu suffisamment d'information et de matériel de prévention du jeu excessif. Enfin, l'attitude des parents à l'égard de la participation des jeunes aux jeux d'argent illustre un malaise ou un inconfort face la participation de leur adolescent à ce type d'activités.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.448
Teacher spread0.334 · 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
Published2009
Admission routes1
Has abstractyes

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