Cree Women Speak: Intergenerational Perspectives on Weight Gain during Pregnancy and Weight Loss after Pregnancy
Bibliographic record
Abstract
Obesity is prevalent among the First Nations population in Canada, with serious associated health risks. Recent studies also indicate that a high percentage of First Nations women are overweight or obese at the start of their pregnancies, with a tendency to retain weight after their children are born. In response to these concerns, a community-based study was conducted in two Cree communities, using qualitative methods to investigate young mothers’ perceptions and concerns about weight gain during pregnancy and challenges to postpartum weight loss. Female Elders were also interviewed to provide some historical context and to give some insight into culturally appropriate responses to the current weight-related health challenges being faced by young mothers. Overall, the study showed that most of the participants—young and old— associated “healthy foods” with traditional foods and “healthy living” with bush life. However, while Elders recounted staying active and eating traditional foods throughout their pregnancies, the younger women tended not to put their knowledge of what constitutes a healthy lifestyle into practice, mainly due to various individual and societal barriers. Some of the barriers identified related to lifestyle changes, including increased consumption of “white man’s foods” and decreased physical activity, as well as to larger social changes, such as the medicalization of pregnancy and diminished community support networks for young mothers. Participants provided insight into how traditional practices could be intertwined with the benefits of contemporary life to help address some of the health issues currently affecting young Cree mothers.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| 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".