Funcionamiento familiar como predictor de la alexitimia de acuerdo al índice de masa corporal
Bibliographic record
Abstract
Alexithymia is a cognitive-affective disorder that causes a deficiency in the ability to identify, describe and express feelings (Sifneos, 1973), is related with familiar environment dysfunctional, as the involvement of the parents in the emotional needs of their children (Kind & Mallinckrodt, 2000). From this approach, the goal of the research was to determine if family functioning predicts alexithymia in persons withBody MassIndex (BMI) of normal weight, overweight and obesity. 428 collaborated voluntarily. Participated adultsliving in the MexicoCity(M = 40 years, SD = 7.8) who responded to the Toronto Alexithymia Scale (Bagby, Parker & Taylor, 1994), Scale of Family Functioning (Garcia Mendez et al., 2006) and reported their height and weight to get their BMI. Analysis of stepwise linear regression were performed and the results suggest that in people with overweight and obesity, factors cohesion/rules and hostility/avoidance conflict are predictors of alexithymia. In normoweight, forecasters were command/problems in expressing feelings and cohesion/rules. These results show clearly that dysfunctional relationships facilitate the presence of behaviours related to 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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".