Canadian service providers' perspectives on reproductive coercion and abuse: a participatory action research to address their needs and support their actions
Bibliographic record
Abstract
Reproductive coercion and abuse (RCA) is a form of violence that affects sexual and reproductive health. Women and individuals who experienced RCA in an intimate relationship frequently consult service providers (SPs), such as health professionals or violence counselors. The objective of this article, which is the result of a participative action research project targeting RCA perpetrated by in an intimate partner, is twofold: (1) to better understand the practices as well as the barriers and facilitators encountered by SPs and (2) to develop information and awareness tools with them that meet their needs. To this end, we first held focus groups with 31 SPs. The use of thematic analysis revealed intervention strategies that focus on caring and listening, identifying signs of RCA, and creating a safe environment for disclosure. Their practices also focused on harm-reduction strategies and effective referrals. Despite the importance they gave to this issue, lack of time, inappropriate settings, and inadequate training hindered them from intervening effectively with individuals who were victims of RCA. They also indicated the need for easy-to-follow practice guidelines and patient education tools. Based on these findings and the best practices identified in the grey and scientific literature, we developed a practice guide for SPs and a booklet on RCA. The development of these guide and booklets involved a lot of back and forth to meet the needs expressed by the community and health professionals.
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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 | 0.027 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.050 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| 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".