Women marginalized by poverty and violence. How patient-physician relationships can help.
Bibliographic record
Abstract
OBJECTIVE: To explore the experiences of women relegated to the margins of society by poverty or violence. DESIGN: Qualitative method of focus groups. SETTING: Shelters and transitional housing in southwestern Ontario. PARTICIPANTS: Thirty-six women staying at shelters or transitional housing. METHOD: Focus groups conducted at five locations explored the women's experiences and interactions with family physicians. MAIN FINDINGS: Two themes emerged from the analysis: power imbalances in patient-physician relationships, and the role of family physicians in creating collaborative relationships. Women who felt demeaned in patient-physician relationships described their family physicians as dominating and intimidating. Women who described relationships as collaborative felt valued and understood. CONCLUSION: Poor or abused women living in shelters who felt powerless in patient-physician relationships felt even more demeaned as they coped with the struggles associated with being poor. Women who had continuous collaborative relationships with their family physicians were able to articulate their needs more readily.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".