Maya Oza Ollek Forced Migration Student Conference 1 The Role of Non-Governmental Organizations in Preventing Partner Violence Against Immigrant and Refugee Women in Canada
Bibliographic record
Abstract
Until the 1970s, violence occurring within the home was regarded as a purely private issue which was not to be addressed within the public sphere. Thousands of Canadian women suffered repeated abuse at the hands of their partner. With few crisis intervention services available to them and little in the way of law enforcement involvement, these women were left to suffer in silence as the country ignored their plight. During the 1980s, the women’s movement in Canada played an instrumental role in exposing the problem of partner violence to the Canadian public (Agnew 1998: 4). The gradual recognition of partner violence as a social problem alongside growing public awareness of the issue prompted the involvement by the Canadian government (Hagen 2001: 120). Partner violence shifted from the confines of the home to the forefront of the public conscience. Canadian society’s understanding of issues related to partner violence has improved drastically since the issue first emerged in the public sphere some three decades ago. Nevertheless, there remain large gaps within existing knowledge of this issue. Most noticeably, very little has been written from either the policy or academic perspective regarding the particular obstacles faced by immigrant and refugee women suffering from partner violence in Canada.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".