Cambio de paradigma en los estudios de innovación: el giro social de las políticas europeas de innovación
Bibliographic record
Abstract
Los estudios de innovacion han experimentado un giro social en esta primera decada del siglo XXI, que comienza a trasladarse a las politicas de innovacion. Estamos ante un nuevo paradigma en ese tipo de estudios, no solo ante una nueva ampliacion de los tipos y modelos de innovacion. Para ello, se analizan algunos de los primeros marcos conceptuales de la innovacion social (goldenberg y grupo Crises en Canada, Young Foundation y NESTA en el Reino Unido) y se comenta el avance del nuevo paradigma en la Union Europea. Se concluye que las tecnociencias de innovacion social parecen haber llegado a un punto de amplio consenso: las innovaciones sociales surgen en primera instancia de la sociedad civil, pero tambien pueden ser generadas o implementadas por el sector publico y por el sector privado. Ademas, tanto los medios como los fines para promoverlas han de ser predominantemente sociales.
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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 | 0.024 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.037 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".