Predictors of Women's Choices in Breastfeeding Initiation and Exclusivity at Six Months
Bibliographic record
Abstract
The purpose of this study was to analyze the Canadian Maternal Experiences Survey to determine the predictors of breastfeeding initiation and exclusive breastfeeding at six months. Logistic regression analyses were used to assess potential predictors. Independent predictors for breastfeeding initiation included: adequate information about feeding, assistance with breastfeeding initiation, postpartum maternal skin contact, baby's location in the first hour after birth, province of birth, maternal immigration, maternal smoking, maternal dissatisfaction with support from her husband/partner during labour, length of time the baby spent in a different room in the first twenty four hours, mother's level of education, and population size. Independent predictors for exclusive breastfeeding at six months were: adequate information received about formula feeding, pacifier use, contact made by a healthcare provider after the birth, marital status, province of birth, mother's return to work, maternal smoking, timing until first breastfeeding, maternal breast pain, maternal age, and prepregnancy BMI.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".