El valor de las competencias transversales en personas vulnerables. Una visión cualitativa
Bibliographic record
Abstract
El empleo precario y el desempleo se están generalizando en nuestra sociedad como un problema estructural que se asocia con el aumento de la vulnerabilidad. El papel y la utilidad de la formación a lo largo de la vida a través de itinerarios individualizados que contemplen habilidades especialmente actitudinales son el objeto de nuestra investigación. A este respecto se presenta un diseño de investigación cualitativo sobre qué competencias tienen mayor repercusión en la inserción laboral. La muestra integra 525 personas desempleadas en situación de vulnerabilidad de Asturias que participan en proyectos de búsqueda de empleo. Como resultados cabe destacar que las competencias son valoradas, especialmente aquellas relacionadas con habilidades personales. Los resultados destacan el papel de la formación en competencias a lo largo de la vida que tengan impacto laboral, personal y social.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".