Las configuraciones de las iniciativas de la economía social y solidaria
Bibliographic record
Abstract
INTRODUCCIÓNMuchas interpretaciones sobre la economía social y solidaria minimizan la variedad y heterogeneidad de estas empresas, lo que lleva o a su idealización, o a su rechazo en bloque (Boivin y Fortier, 1998).Si, al contrario, se admite la diversidad, ¿cómo podemos reconocer las diferentes formas que adopta la economía social y solidaria real?¿Qué es lo que explica estas diferencias?Una tipología fundada empíricamente, que podría ilustrar la variedad de la economía social y solidaria y que seria capaz de explicar los fenómenos que llevan a la diversificación de las formas de las empresas, podría contribuir a matizar las representaciones de la economía social y solidaria, hacer avanzar el debate publico y producir un conocimiento de segundo grado que permita comprender las influencias sobre las dinámicas internas de estas iniciativas económicas y sociales.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".