Apprentissages et expériences budgétaires de femmes brésiliennes no-scolarisées (CO)
Bibliographic record
Abstract
Le Bresil est une societe moderne industrielle et complexe qui a connu des mouvements massifs de migration de la campagne vers la ville a la recherche de meilleures conditions de vie. Le migrant de milieu rural, le plus souvent nonscolarise, fait face en ville a de nombreux deplacements en transports collectifs, a des transactions commerciales, a une nouvelle activite remuneratrice. Il est alors confronte a de nouveaux defis au sein de ses activites quotidiennes, tels la gestion du budget et les echanges marchands. Six femmes « migrantes de l’interieur » nous ont relate leurs usages du budget. Leurs recits de vie revelent non seulement les competences acquises mais autant les structures de participation (Rogoff, 1995) telles la collaboration de leurs proches ou encore les dispositifs d’instruction mis en place par leur employeur. Ont-elles developpe l’instrument budgetaire a l’occasion de ces collaborations ?
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".