Políticas sociolaborales en las comunidades autónomas de Madrid y Canarias
Bibliographic record
Abstract
Aquest Treball de Fi de Carrera (TFC) analitza i avalua les polítiques sociolaborals de dos comunitats autònomes: Madrid i Canàries. Per realitzar-lo s’ ha investigat tant a nivell qualitatiu com quantitatiu, les politiques sociolaborals que es desenvolupant en les dos comunitats per mitja dels plans y programes d’ actuació, realitzats per les seves Consegeries de Govern. Per realitzar l'estudi quantitatiu de cada comunitat autònoma, s’ ha calculat i analitzat a nivell estadístic, les polítiques sociolaborals, per mitjà d'unes variables i ràtios determinats. Els programes que s' analitzen en aquest estudi són el Pla de Formació Professional que ve desenvolupant la Comunitat de Madrid durant els últims anys, i el Pla per a la Dona a Canàries.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".