Knowledge into action: proposing an evidence-based group prenatal exercise prescription
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
AIMS: In accordance with the American College of Obstetricians and Gynaecologists recommendations for exercise during pregnancy, this article provides an evidence-based prescription for a group-based prenatal exercise programme. METHODS: This prescription has been tested in 21 randomized controlled trials. This short report outlines in detail the seven components included in each session (warm-up, aerobic training, resistance training, coordination and balance, pelvic floor training, cool-down, and final discussion). RESULTS: Using the 26-item behaviour change taxonomy proposed by Abraham and Michie, we identified common techniques that are employed in each session to provide a rationale for the high-programme adherence. CONCLUSIONS: This session model can be replicated to design prenatal exercise programmes with high adherence and that can be offered by trained exercise 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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it