Bibliographic record
Abstract
When Andrew Kotaska asked Birth readers if they recalled "the days of physician-dictated obstetrical care" (1) that resulted in perineal shaves, he invited us to celebrate the end of dogma-driven medical practice and the dawning of a new era of evidence-based, patient-centered care.Diony Young, too, reminded us of the "unnecessary indignities of the day" that resulted in her "partial shave (with a very blunt razor)" ( 2) almost five decades ago as a way to mark just how far we have come in women-centered birth care.The practice of prelabor perineal shaving has indeed become emblematic of all that was wrong with mid-20th-century birth, and its demise is a continued testament to the power of birth activism.With the right to pubic hair so ardently fought for just decades ago, how do we make sense of women's decisions to increasingly be shaved, waxed, or otherwise depilated when giving birth today?
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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 | 0.020 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.061 |
| Scholarly communication | 0.014 | 0.021 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.019 | 0.031 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".