Relationship between the features of personality and alexithymia in female criminals in prison
Bibliographic record
Abstract
ObjectiveTo investigate relationship between the abilities of affection's identification and communication and the features of personality. Methods88 female criminals from guangdong provincial female prison and 50 control group from one factory were investigated with Toronto Alexithymia scale(TAS-26),California psychological inventory-revise by China(CPI-RC) and the general data scale. ResultsThe abilities of recognizing and distinguish affection's or body's feeling were significantly different from those in controls(P0.05);aging, lower degree of education, lower rank in occupation, criminals in property seize were major factors; pearson correlation analysis showed strong and negative correlation between the general score and single perspective scores of TAS-26 and all perspective scale score of CPI-RC(P0.05~0.01);the influence of the different features of personality to the abilities of affection's identification and communication was different. ConclusionPartial features of personality in female criminal in prison could explain the reflection caused by alexithymia.
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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) | 0.002 | 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".