A CHANGE OF PARADIGM IN THE STUDY OF INNOVATION: THE SOCIAL TURN IN THE EUROPEAN POLICIES OF INNOVATION
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Innovation studies have experienced a social shift in this first decade of the century, which begins to move to innovation policy. We are facing a new paradigm in such studies, not only to a further expansion of the types and models of innovation. To this end, we analyze some of the first conceptual frameworks of social inno- vation (Goldenberg and Crises group in Canada, Young Foundation and NESTA in the United Kingdom) and discussed the progress of the new paradigm in the European Union. We conclude that social innovation technosciences seem to have reached a broad consensus: social innovations emerge in the first instance of civil society, but can also be generated or implemented by the public sector and the private sector. In addition, both the means and the purposes to promote them should be predominantly social.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.013 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it