Bibliographic record
Abstract
ABSTRACT In general, the emphasis of social economy theorists has been sectoral; that is, research has emphasized the uniqueness of the social economy, almost as if it is a world apart from the rest of society. This article, in contrast, focuses on the differing forms of interaction between the social economy and other parts of society. The authors use a Venn diagram to illustrate differing forms of interaction between the social economy and other parts of society, and also the fluidity of the social economy. The model presented assumes that the social economy is embedded within society, and some players within the social economy support social norms and others challenge these norms and present a transformative vision. RÉSUMÉ Généralement, les théoriciens de l'économie sociale se concentrent sur l'approche sectorielle, c'est-à-dire que leurs recherches soulignent le caractère unique de l'économie sociale, presque comme s'il s'agissait d'un monde en marge du reste de la société. Par contraste, cet article envisage les diverses formes que peut prendre l'interaction entre l'économie sociale et les autres sphères de la société. Pour illustrer ces différentes formes d'interaction ainsi que la fluidité de l'économie sociale, les auteurs ont utilisé un diagramme de Venn. Le modèle présenté tient pour acquis que l'économie sociale est partie intégrante de la société. Alors que certains acteurs de l'économie sociale défendent l'existence de normes sociales, d'autres mettent ces normes en doute et proposent plutôt une vision transformatrice.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".