Relación entre los estilos de personalidad patológica y la alexitimia en pacientes con antecedentes de intento suicida
Bibliographic record
Abstract
--- The study has like objective establish if relation between the styles of pathological personality and alexithymia in patients with antecedents on suicidal attempt exists; for which a correlational design was used, as well as an intentional nonprobability sampling; the sample was conformed by 49 patients to antecedents on suicidal attempt, ages between the 17 and 25 years. Between the instruments to gather information appear: card of social demographics dates, Clinical Inventory Multiaxial of Millon MCMI II and TAS 20. \nThe statistical analysis was made in three stages, psychometric to evaluate the validity and trustworthiness of TAS 20, descriptive of the variables studied and correlational to contrast the raised hypotheses. \nIn the results has founded statistically significant correlations between the styles of pathological personality and alexithymia, such as schizoid, evitative, histrionic, and schizotypal. The personality styles a greater frequency in the suicide act are those that combine evitative, negativistic, antisocial and dependent characteristics, as well as those with characteristics limits or a combination of limits and esquizotípicos characteristics. The scale of Alexitimia of Toronto presents a suitable trustworthiness and validity in our means. \nThe results obtained confirm the existence of relations between diverse styles of pathological personality and alexithymia in a sample of suicidal patients. \nKey Words: Styles of Pathological Personality, Alexithymia, Attempt of Suicide, MCMI II, TAS 20.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".