La violence conjugale au Canada : aspects méthodologiques de l’Enquête sociale générale sur la victimisation
Bibliographic record
Abstract
A survey on victimization is conducted every five years in Canada as part of the General Social Survey (GSS); the last survey on this topic dates back to 2004. Its aims to collect detailed information on Canadians’ experiences of victimization, their perception of the crime and of the justice system as well as the characteristics of the victim, the incident and the perpetrator of the crime. The theme of spousal violence is one of the permanent components of the survey. It helps to draw up a portrait, from the victim’s perspective, of the nature and repercussions of spousal violence in Canada, among both men and women. The GSS includes, among other things, questions on the frequency of incidents involving spousal violence, the injuries and the reporting of these acts to the police. The results of the 2004 GSS show that, despite the fact that men and women are subject to spousal violence at similar rates, the nature and repercussions of the incidents differ when the two genders are compared. In fact, the consequences of spousal violence are generally more serious for women than for men.
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 | 0.028 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.021 |
| Science and technology studies | 0.019 | 0.007 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".