Bibliographic record
Abstract
This brief article explores two key questions that have emerged for the social economy in the COVID-19 context: 1) the nature of the relationship between social economy actors and the State, and 2) the possibility for social transformation going forward. This article engages with a dialogue entitled “Autonomous Community Action and Its Transformational Potential at a Territorial Level: An Ongoing Dialogue Between Research and Practice.” RÉSUMÉCe bref article explore deux questions clés pour l’économie sociale soulevées dans le contexte du COVID-19 : 1) la nature du rapport entre l’État et les acteurs de l’économie sociale, et 2) la possibilité de transformations sociales pour l’avenir. Cet article se fonde sur un dialogue intitulé « L’action communautaire autonome et son potentiel transformationnel dans les territoires : un dialogue en cours entre les milieux de la recherche et de la pratique. »
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.065 | 0.007 |
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".