RELATIONSHIP BETWEEN ALEXITHYMIA AND RESILIENCY WITH PREPARATION OF ADDICTION IN MALE STUDENTS
Bibliographic record
Abstract
This study aimed at investigating the simple and multiple relationships between alexithymia and resiliency with addiction potential in in male students of Ferdowsi university of Mashhad. Two hundred and thirty male students were selected by cluster sampling from the Ferdowsi University (Iran). The scales used for this descriptive study were Toronto Alexithymia Scale (TAS-20), Connor and Davidson resiliency scale and Iranian Addiction Potential Scale (IAPS). Data analysis was performed using Pearson correlation and multiple regressions. There were simple and multiple relationships between alexithymia and resiliency and preparation of addiction. In other words, 41 percent of the total preparation of addiction variance could be explained by the predictive variable in this study. Alexithymia and resiliency predicted addiction potential in university students. The most important suggestion of this research was to pay attention scientifically to alexithymia and resiliency as a fundamental factor of this difficulty, rather than just emphasizing on the cessation of drug or alcohol using.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".