Finances solidaires informelles au Pérou dans la perspective du capital social
Bibliographic record
Abstract
Cette recherche explore les raisons qui motivent la participation aux finances solidaires informelles dans le contexte de l’Amérique latine, celui du Pérou notamment, à travers la notion de capital social. Dans ce but, nous examinons le cas des associations d’épargne et de crédit rotatif (AECR), une forme de crédit tontinier fondée sur la confiance et l’information partagée. Malgré le développement et la consolidation des microfinances dans ce pays, on observe que les associations de type tontinier sont encore très utilisées. A partir d’une étude exploratoire qualitative, nos résultats suggèrent que le type de capital social mobilisé explique en partie les motifs de leur utilisation. Par ailleurs, notre analyse met en exergue les motivations sociales, moins souvent explorées dans la littérature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".