TAILLE DE LA FAMILLE, STATUT DE SCOLARISATION ET NIVEAU D’ADDICTION AUX PARIS SPORTIFS CHEZ DES ABIDJANAIS, CÔTE D’IVOIRE / FAMILY SIZE, EDUCATIONAL STATUS AND LEVEL OF ADDICTION TO SPORTS BETTING AMONG ABIDJANS, CÔTE D’IVOIRE
Bibliographic record
Abstract
<p>L’addiction aux paris sportifs prend une proportion importante en Côte d’Ivoire avec l’avènement et l’accessibilité des NTIC. C’est ainsi que le statut de scolarisation des parieurs et la taille de la famille retiennent notre attention pour leur implication dans l’addiction aux jeux. À l’aide d’un questionnaire et de l’Indice Canadien du Jeu Excessif (ICJE) (Ferris et Wynne, 2001), nous avons sélectionné 170 joueurs du jeu Sportcash à Yopougon. Agés de 18 à 35 ans, ils sont tous du sexe masculin et comptabilisent au moins un (1) an de pratique du jeu de pari Sportcash. Les résultats montrent que les joueurs qui ont une pratique excessive du jeu Sportcash sont issus de familles nombreuses et sont déscolarisés. Ces résultats confirment les hypothèses émises et vont dans le sens des travaux antérieurs. Cette étude pourrait aider à prévenir l’addiction et à lutter contre ses méfaits par une connaissance des facteurs de risque et le développement de programmes de prévention ciblés.</p><p>Addiction to sports betting is taking on a significant proportion in Côte d’Ivoire with the advent and accessibility of NICT. This is how the educational status of bettors and the size of the family attract our attention for their implication in gambling addiction. Using a questionnaire and the Canadian Excessive Gambling Index (CIGI) (Ferris and Wynne, 2001), we selected 170 players of the Sportcash game in Yopougon. Aged 18 to 35, they are all male and have at least one (1) year of playing the Sportcash betting game. The results show that players who play Sportcash excessively come from large families and are out of school. These results confirm the hypotheses put forward and are in line with previous work. This study could help prevent addiction and fight against its harmful effects through knowledge of risk factors and the development of targeted prevention programs.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0755/a.php" alt="Hit counter" /></p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".