Réussir son insertion professionnelle : une analyse féministe de trajectoires sociales de femmes qui se sont engagées dans un processus d’alphabétisation
Bibliographic record
Abstract
Les auteures présentent les résultats d’une recherche qualitative portant sur la compréhension de la trajectoire professionnelle de femmes qui sont retournées aux études dans un programme d’alphabétisation. Une analyse de leur trajectoire sociale avant et après le processus d’alphabétisation permet de comprendre la manière dont divers espaces de socialisation (famille, école, formation) influent sur les formes de travail dans lesquelles ces femmes s’engagent. La recherche a d’ailleurs mis en perspective que ces femmes, après une formation en alphabétisation, s’orientent vers des secteurs d’emploi traditionnellement féminins : le soin aux autres. C’est dans ces filières d’emploi qu’elles disent se sentir reconnues et valorisées.
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 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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".