Economía social y solidaria en la educación superior: un espacio para la innovación (Tomo 1)
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
This first volume of the collection Social and Solidarity Economy in Higher Education: a space for innovation is made up of articles that account for the powerful link that is generated by introducing the reality, theory, and practice of the social and solidarity economy in the curriculum of universities in the United Kingdom, Colombia, Argentina, Canada, France, Spain, and Brazil. The authors present experiences that contribute to the improvement of institutional pedagogical models, to the development of competences for teachers and to the empowerment of young people from the classroom to influence their local realities. This is done through examples of curricular developments that lead to the management of cooperatives and the promotion of public policies in alliance with national governments. Also, experiences of dialogue of knowledge are exposed and it is shown how the link with agroecological markets can be a scenario of social appropriation of knowledge that stimulates citizen participation. In the last chapters, the importance of university ecosystems supporting the social and solidarity economy and the experience of incubators to tune the academic community with the territory are highlighted. Thus, how this strategy allows proposing effective solutions to social, economic and environmental problems or needs is highlighted through solidarity entrepreneurship and social innovation. As in the other volumes, it is evident that the experience of education in social and solidarity economy can not only respond to the demands of a changing world, it can also inspire the appropriation of the future for the achievement of the global common good.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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 it