Co-construcción de saberes, innovación social y desarrollo territorial: una experiencia quebequense
Bibliographic record
Abstract
The social economy’s movement in Quebec has a trajectory of agreement that provides room for the development of dynamics of co-construction and knowledge transfer. In front of the application of austerity policies and the dismantling of economic development corporations, different local practices raise the dialogue between research and action on the ground as a key point for citizen mobilization and in order to promote the articulation of social innovation processes. At the crossroads between knowledge on these practices and a new epistemological paradigm is framed the organization Territoires innovants in Économie Sociale et Solidaire (TIESS). This article analyses this initiative by exploring its immediate referents and taking into account the constraints that affect the transfer of knowledge about social innovation. In conclusion, it is observed that the organization of the link between socially innovative actors is currently one of the main challenges of territorial development
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.033 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".