Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objectives: Mifepristone has been available in Canada since 2017. National guidelines recommend its off-label use for second/third trimester medical abortion (STMA/TTMA) by labor induction. The objective of this study was to explore 2019 Canadian STMA/TTMA provision and the role of mifepristone from a physician perspective. Methods: We conducted a national, cross-sectional, self-administered, English and French anonymized survey of physicians who provided abortion care in 2019. The survey was distributed online through health professional organizations and networks. We used a modified Dillman technique to maximize participation. The survey included sections on workforce and clinical care, including use of mifepristone. Using R-statistical software we described and compared the provider demographics, volume of STMA/TTMA performed, and characteristics of clinical practices. Results: Of the 477 survey participants, 107 (22.4%) provided STMA and 62 (13.0%) provided TTMA. Most STMA/TTMA providers were general or maternal-fetal-medicine subspecialist obstetrician-gynecologists (87.0%), women (80.9%) and had a mean age of 47 years old. The majority (61.1%) provided STMA/TTMA in an academic hospital, and performed fewer than 5 deliveries in 2019 for STMA (59.4%; maximum 50) and TTMA (76.1%; maximum 15). Most required an indication beyond patient request to perform STMA/TTMA (97.2%/98.6%). 51% percent reported having used mifepristone/misoprostol for STMA. Among mifepristone users, 47.4% used it for TTMA. Conclusions: Our results will inform knowledge translation activities aimed at health policy and service delivery leaders to further increase mifepristone use for STMA/TTMA in Canada and internationally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it