New Mothers' Networks in the Canadian Context: A Combined Methods Investigation into the Characteristics, Function, and Dynamics of First Time Mothers' Social Networks
Bibliographic record
Abstract
In this combined methods study, semi-structured qualitative interview data and quantitative social network survey data were used to describe the characteristics, functions, and dynamics of new mothers’ social networks in the Canadian context. The social networks of the mothers who participated were largely composed of a core network of close family and friends who provided a range of social support. First time mothers’ networks also included network members who provided support specific to the context of new motherhood, such as daytime companionship during the regular work week, which they found through existing ties when possible. When not, new mothers often sought this companionship through acquaintances or new friends, particularly other new mothers. Comparison of structured social network data with semi-structured interview data led to recommendations for better eliciting and describing these context specific ties in new mothers’ networks, including the use of a multi-pronged, context aware approach.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".