The No TAV Entrepreneurs’ Transition towards a Sustainable Solidarity Economy: Pragmatic Analysis of a Social Innovation Process
Bibliographic record
Abstract
Whilst a global transition towards sustainability appears to be a pressing challenge, several surveys have shown that sustainable principles and values seem to emerge on a global scale.Various social movements have laid claim to such a transition.An example of these movements is the No TAV movement in the lower part of the Susa Valley in Italy.Since the 1990s, this area has been the scene of a territorial conflict pitting the local inhabitants against the Italian state on a 54km long railway tunnel project under the Alps.By strongly rejecting this project and collective participation in numerous resistance movements, the Low-Valsusans have gradually become a territorialized community whose members seem to share a set of sustainable principles and values.In our research, we have questioned the impact of this very peculiar context on the local small and medium entrepreneurs, trying to find out if they are sharing the sustainable norms of their community, and whether it influences their activities.Are the Low-Valsusan entrepreneurs currently in transition towards a sustainable solidarity economy?We have been able to portray an ongoing social innovation process in the lower part of the Susa Valley through which these entrepreneurs are gradually getting involved in the implementation of the sustainable principles and values of their community.After the introduction of our transdisciplinary theoretical and methodological framework, this paper will describe this peculiar social innovation process that seems to be currently transforming the Low-Valsusan entrepreneurs' activities.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".