Bibliographic record
Abstract
Son tres terminos que, si bien en sus planteamientos iniciales se han concebido como elementos interdependientes o sinergicos para la consecucion de un mismo objetivo, en la pratica han estado separados, no detectandose Ios nexos de union esperados ente ellos. La interrelacion que cabe esperar de ellos es tan amplia como compleja, ya que, entre otras cosas, interviene, por un lado, un instrumento (el Rendimiento Minimo ), por otro, un proceso (la cultura de insercion social) y, finalmente, una meta o un resultado (el desarrollo local).Esta triada de elementos adquiere su sentido, y esta a la orden del dia, en el conjunta de los Estados Miembros de la Union Europea, ya que todos seven afectados por la creciente problematica del desempleo. Aunque a primera vista podria parecer que el desempleo es una situacion coyuntural, con posibles soluciones a traves de la aplicacion de polfticas de empleo convenientemente disefiadas y consensuadas por todos los agentes economicos y sociales, preferentemente a escala nacional, lo cierto es que el problema aumenta, a pesar de los esfuerzos realizados.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".