Contribution of Occupational Therapy to funcional approach in personality disorders
Bibliographic record
Abstract
Personality disorders ( personality disorder F03.675 ) are defined by a rigid pattern of unadapting behaviours that, on the short and medium term generate a significant socio environmental deterioration. The level of psychosocial function or dysfunction is a first class indicator when assessing the extent and assessment of the personality disorder.Psychotherapy ( psychotherapy F04.754 ) intervenes in the psychosocial compounds of this disorder by designing specific programs for the training in psychosocial skills (conductual-dialectic therapy). Occupational Therapy ( occupational therapy E02.831.489 is a health science with a long history in socioenvironmental therapy of mental diseases F04.754.864 ) . The focal point is the assessment of the disease, disorder or social unadaptation impact in the individual's occupation functionality. This science puts forward a wide, integrating concept of functionality, which is divided into three occupation areas: productive occupational area, self maintenance area and leisure time area.In the first part of this paper, the extent and features of the occupational disfunction in the personality disorder are analysed employing the occupational therapy method.Based on our six-year experience, a method for socioenvironmental treatment based on two models of occupational therapy (human occupation model and Canadian model) is suggested in the second part of the paper
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".