Maternal Knowing and Social Networks: Understanding First-Time Mothers’ Search for Information and Support Through Online and Offline Social Networks
Bibliographic record
Abstract
The postpartum period is an exciting yet stressful time for first-time mothers, and although the experience may vary, all mothers need support during this crucial period. In Canada, there has been a shift for universal postpartum services to be offered predominantly online. However, due to a paucity of literature, it is difficult to determine the degree to which mothers' needs are being effectively addressed. The aim of this study was to examine and understand how first-time mothers accessed support and information (online and offline) during the first 6 months of their postpartum period. Using feminist poststructuralism methodology, data were collected from focus groups and e-interviews, and analyzed using discourse analysis. Findings indicate that peer support is greatly valued, and mothers often use social media to make in-person social connections. Findings highlight how accessing support and information is socially and institutionally constructed and provide direction for health professionals to provide accessible postpartum care.
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 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 | 0.005 | 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 | 0.003 | 0.001 |
| 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 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".