Alexitimia, familia y trastornos alimentarios
Bibliographic record
Abstract
Title: Alexithymia, family and eating disorders. Abstract: Objective: to contrast the differences in the level of TAS-20 among families with a daughter with eating disorders (ED) and a control group. Method: 64 women with (ED) (according to criteria from the Diagnostic and Statistical Manual of Mental Disorders, IV edition, (Ameri- can Psychiatric Association, 1994)). (26 with restrictive anorexia nervosa (RAN), 14 with bulimic anorexia nervosa (AN-BN) and 29 with bulimia nervosa (BN), and a control group, 55 women and their parents, with similar sociode- mographic characteristic were evaluated with the Toronto Alexithymia Scale (TAS-20) and the Eating Attitude Test (EAT). Results: The daughters with ED, and their parents, present bigger scores in the TAS-20. the daughter's Alexithymia is associated to this their parents. Discussion: the Alexithymia could be a characteristic of families with a ED, but we can not to affirm if is a trait or a state due to the ED.
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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 | 0.000 | 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) | 0.004 | 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".