Intersectionality in Developing a Virtual Community of Practice Platform on Abortion
Bibliographic record
Abstract
Abortion is an essential healthcare service in many countries including Canada. The number of people who seek abortion is disproportionately higher among equity-deserving populations. Yet the knowledge needed to provide evidence-based, culturally safe, and gender-affirming abortion services remain limited among healthcare professionals. Using an intersectional lens, we conducted focus group discussions with 14 healthcare professionals to understand how an abortion web-based platform, which is currently under development, can be adapted to meet the needs of equity deserving populations. The findings revealed the need for multi-lingual resources on abortion, information on funding coverage for undocumented migrants, educational resources on Indigenous cultural safety and gender-affirming practices, and a mapping tool to locate providers or pharmacists. Beyond presenting clinical guidelines on web platforms, this study revealed important considerations for the design of web platforms that can help advance access to abortion for equity-deserving populations.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".