Women living with disabilities and their experiences and issues related to the context and complexities of leaving abusive situations
Bibliographic record
Abstract
The health of women with disabilities, like other women, is affected by experiences of violence and abuse. However, the experiences of women living with disabilities is less well known and an important issue for rehabilitation professionals. In this paper we focus on presenting women's knowledge and experiences of violence and abuse regarding where abuse takes place, the forms of abuse; and the complexities associated with 'taking action'. Women participants for this study had to be: 18 years of age or older; a Canadian citizen; able to participate in English; self-defined with a disability; and, be living in an urban area of Canada. Data presented is based on an innovative community-academic research study in which focus groups discussions using electronic technology (i.e. blackboard and chat rooms) were conducted with women living with disabilities across the country on important health issues. Participants' recommendations are also presented. Discussion of the findings focus on policy and practice implications related to dedicated resources, access to information and training initiatives for rehabilitation professionals and women themselves.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".