A Comparative Analysis of the Anxiety in Offenders of the Law Based on Structural Equational Models
Bibliographic record
Abstract
Anxiety affects men and women and have a negative impact on their lives. This paper presents two structural equation models (SEM) to evaluate the variables (physiological and cognitive), that most influenced the anxiety in men and women offenders of the law. Was used a representative sample of 60 offenders of the law (30 mens and 30 womens) of the Specialized Attention Center (SAC) “Carlos Lleras Restrepo” in Medellin, Colombia with diagnosis of Antisocial Personality Disorder (APD). The results of Bartlett's and KMO tests, indicated that the factorial analysis is adequate, all the constructs are statistically significant. The goodness-of-fit test indicated that the model fits well with the data. This paper concludes that, of the two constructs considered: physiological and cognition, in the men the construct that most influences the latent variable physiological are the “Palpitations or tachycardia”. The construct that most influences the latent variable cognitive is the “a feeling of instability”. In the women, the construct that most influences the latent variable physiological is the “dizziness or vertigo”. The construct that most influences the latent variable cognitive is “be afraid”.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".