Navigating landscapes of care: Pathways to perinatal well-being for young people living in the Widzin Kwah watershed in northern British Columbia
Bibliographic record
Abstract
,Rooted in an anticolonial and community-informed approach and drawing on determinants of health frameworks, my research asked: How do young people experience perinatal well-being in rural, northern, and Indigenous geographies? My research took place in the Widzin Kwah (Bulkley-Morice) watershed and used qualitative inquiry and a methodology of weaving. Data was analyzed through a process of tracing and weaving threads (akin to iterative thematic analysis) to identify patterns and generate a woven and place-based research tapestry that integrates participants’ lived experience and expertise with broader scholarship and literature. I also used self-reflexive journaling and member checking as methods of accountability and iterative learning. I present my research findings as a woven tapestry that documents ways young folks’ well-being during pregnancy, birth, and early parenting is borne and enlivened by landscapes of care within and beyond the Widzin Kwah watershed. To close, I take the tapestry off the loom and offer reflections on generative possibilities for collectively working toward reproductive justice for young people living in northern BC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".