Family Factors and Personal Characteristics of Gambling in Students from Seventh to Eleventh Grade of the Instituto Experimental La Asunción, Lechecuagos, León, III Quarter
Bibliographic record
Abstract
Gambling addiction or pathological gambling is not a type of vice, or an expression of mental weakness, it is a psychological disorder that affects various aspects of the personal, family, work, social and economic life of those who suffer from it, since their ability of self-control and finds it difficult to say 'No', being, therefore, unable to postpone the impulse or desire to play.The gambler's brain stops functioning rationally and enters a distortion of reality that will lead them to think that they can play in a controlled way again.This could be influenced by family factors such as family structure, absence of rules and limits, family supervision or learning of gaming behavior through a family model in which there are positive attitudes towards it, as well as personal characteristics, highlighting anxiety, emotional instability, self-control deficit, unrefreshing sleep also manifests as a result of insomnia, etc.The study was descriptive, quantitative and transversal where the population was made up of 201 students between 12 and 19 years old, seventh and eleventh grade students, of both sexes, from the La Asunción Fe y Alegría Experimental Institute, Lechecuagos.A data collection instrument was applied on family factors and personal characteristics of gambling addiction.For the participants, the act of playing is of utmost concern, since this occurs at home, school or other places, there is no limit on playing time.Although they are aware of the risks and continue to carry out this practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".