Bibliographic record
Abstract
POLICY The Supreme Court of Canada has stated: The gravity, indeed, the tragedy of domestic violence can hardly be overstated. Greater media attention to this phenomenon in recent years has revealed both its prevalence and its horrific impact on women from all walks of life. (R. v. Lavallee [1990] 1 S.C.R. 852) Spousal violence has a distinctive dynamic which sets it apart from other crimes: • it is prevalent in all sectors of society; • the physical, emotional, mental and financial effects are long-lasting, and it is costly1 • it tends to be repetitive until the cycle of abuse is arrested by an external factor, and risk may increase upon external intervention, e.g. police or court involvement; • a person sustaining physical abuse is often financially and emotionally connected with the offender in such a manner that any sanctions imposed upon the offender may adversely affect the complainant as well; and • the degree of violence can be fatal: one in five homicides in Canada involves the killing of an intimate partner2
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.478 | 0.173 |
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; the direct Gemma label and the distilled Codex classifier 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".