Characterizing physician concerns with publicly supporting abortion at Wisconsin's largest medical school
Bibliographic record
Abstract
OBJECTIVE: To examine factors associated with physicians' level of concern and perceived consequences of publicly supporting abortion at Wisconsin's largest and only publicly funded medical school. METHODS: We surveyed physicians at the University of Wisconsin School of Medicine and Public Health about their knowledge, attitudes, and referral practices regarding abortion care. Among those who expressed support for abortion (N = 701), we analyzed perceived concerns about making their support public. RESULTS: Nearly a quarter (22%) of respondents felt very or extremely concerned that taking a strong public stance on abortion would alienate patients and 17% felt very or extremely concerned that doing so would alienate coworkers. More than a quarter (27%) felt very or extremely concerned that publicly supporting abortion would lead to harassment or harm. Those with greater concerns about expressing public support for abortion were comparatively less willing to refer for or participate in abortion care themselves. CONCLUSIONS: Many physicians supportive of abortion reported concerns over publicizing their support for this common health care service. These concerns may render physicians less likely to refer patients for needed abortion care or weigh in on abortion policy.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".