Alienation and Resilience: The Dynamics of Birth Outside Their Community for Rural First Nations Women
Bibliographic record
Abstract
Bella Bella/Waglisla is a small community of 1,250 First Nations residents on British Columbia’s Central Coast that has enjoyed a long history of birth within the community. This ended in 2000 when services began to decline, forcing women to travel to distant referral centres before starting labour. This qualitative investigation documents the experiences of First Nations women who gave birth away from their communities. Data were collected through a written survey of women’s experiences of birth, locally or away, and through in-depth exploratory interviews of women’s stories of their experiences. A community-based research advisory committee guided the study and ethical approval was obtained from both the community band council and the appropriate university research ethics board. Themes from the interviews included the influence of care providers in decision-making, the isolating experience of birth in a referral community, the stress of traveling to access care, the value of emotional and practical support from family and community, and community confusion regarding the decision to close local maternity services. Participants in this study had divergent experiences of childbirth outside of their community; the natures of the experience influenced whether or not they chose or were required to leave after services closed. The experience of leaving the community was difficult for most of the women, precipitating a sense of alienation. For many, the alienation experienced was mitigated by their strong sense of resilience.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".