Bibliographic record
Abstract
Introduction Medical knowledge regarding the ways in which women can actively pursue healthy pregnancies and the birth of healthy infants covers an increasingly broad spectrum of activities before, during and after the usual nine months of pregnancy. In fact, depending upon the clinical situation, the number and range of activities are such that, if a woman were to take all obstetrical advice seriously, she would be faced with a daunting list of instructions ranging from mere suggestions to strong professional recommendations. Few women could (or would want to) fully adapt their lives to the entire range of advice from physicians, midwives, nurses, nutritionists, physiotherapists and childbirth educators, and generally this is not a problem. In principle, professional advice is something that patients can choose to follow or not – this is the essence of informed choice (Faden and Beauchamp, 1986). In some instances, however, failure to follow professional recommendations elicits pejorative judegements of non-compliance, and while these judgements are provoked by a failure to comply with specific advice, typically they are applied to the patient as a whole. Moreover, even if the patient ultimately consents to the recommended course of action, she may continue to carry the label of non-compliant because of her initial efforts to resist medical authority, and this labelling frequently has repercussions for her subsequent interactions with health care professionals.
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.
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 | 0.022 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".