La réduction des complications de macrosomie, de déchirure périnéale et de césarienne à l’accouchement par la pratique d’activités physiques : état de la recherche
Bibliographic record
Abstract
In Canada, there are more than 350,000 childbirths per year (Statistics Canada, 2019). In the final phase of pregnancy, women can have a birth with or without complications (WHO, 2018; Public Health Agency of Canada, 2018). According to several researchers, physical activity in several cases helps prevent some of these complications (Public Health Ontario, 2015 ; Government du Québec, 2019). The present study aimed to determine whether physical activity plays a part in reducing the etiological factors of three delivery complications: macrosomia, perineal tears as well as caesarean section and, through this analysis, determine whether physical activity acts as a preventative measure. The results obtained underline the key preventative role of a physical activity intervention and of leisure with regard to macrosomia and caesarean section. As for the contribution of physical activity in reducing the risk of perineal tears, more research is needed to determine if its role is significant.
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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".