Bibliographic record
Abstract
Dans quelle mesure les difficultés personnelles éprouvées par les individus se traduisent-elles par un appel aux proches ou, au contraire, par un recours au système de services ? Quelles caractéristiques influencent l'orientation vers un type d'aide plutôt que vers un autre ? Ce sont là les questions qui sont traitées dans cet article. Elles le sont à l'aide de données secondaires qui permettent d'analyser le rapport entre certaines dimensions culturelles et les orientations de recherche d'aide, dans la population québécoise. Elles permettent surtout de faire valoir l'importance relative des caractéristiques culturelles pour expliquer les orientations de recherche d'aide, lorsqu'on compare cette variable à d'autres variables, comme la scolarité, le revenu, le milieu d'origine, l'âge et le sexe, qui sont habituellement considérées comme discriminantes dans l'analyse des comportements d'aide.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".