Desenvolupament d'habilitats personals: del consell al desenvolupament d'habilitats
Bibliographic record
Abstract
Taula rodona en el marc de la Jornada 30 anys despres de la Carta d’Ottawa per a la Promocio de la Salut: nous reptes, dinamitzada per Elisa Ferrer, del Servei d’Assessorament i Recursos en Educacio per a la Salut, Direccio General de Salut Publica, Gobierno de Aragon. A la taula es presenten 3 experiencies sobre formacio en habilitats personals. Experiencia 1: Sigues TU, a carrec d'Alex Morales, de l'Area de Politiques i Promocio de la Salut, Dipsalut. Experiencia 2: Formacio en Habilitats per a la vida i TIC’s, a carrec d'Oihana Rementeria, de la Fundacion EDEX. Experiencia 3: Formacio de les habilitats per a la vida en l’ambit universitari, a carrec d'Elias Alfonso Gongora, de la Facultat de Psicologia, Universidad Autonoma de Yucatan
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".