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Record W3015701795 · doi:10.3917/psyt.254.0077

Quand l’utilisation d’une méthode mixte séquentielle amène à la compréhension de la passion du poker

2020· article· fr· W3015701795 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychotropes · 2020
Typearticle
Languagefr
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité du Québec à MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPassionPsychologyPhilosophyArtSocial psychology

Abstract

fetched live from OpenAlex

Alors que la passion est un concept prometteur pour comprendre les comportements de jeux de hasard et d’argent, son influence chez les joueurs de poker était méconnue. À partir de l’exemple d’une étude mixte séquentielle en deux phases consécutives, l’objectif est de décrire le rationnel de l’utilisation d’une méthodologie mixte et ses implications dans la compréhension du phénomène de la passion du poker. La première phase quantitative a permis de documenter la force et le sens de l’association entre la passion et les problèmes de jeu tandis que la seconde phase qualitative contextualise et donne une signification aux résultats quantitatifs tout en documentant l’utilité du concept de passion en prévention et intervention. En plus de permettre d’approfondir l’ensemble des données obtenues dans les deux phases, l’utilisation d’une méthodologie mixte a permis de compenser certaines limites inhérentes à chaque méthode, rendant ainsi possible de faire avancer les connaissances et de mieux appuyer les recommandations.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.147
GPT teacher head0.380
Teacher spread0.233 · 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