Tracing the Pacific at UBC: kinship, representation, and vakaturaga in public health research in Vancouver, Canada
Bibliographic record
Abstract
Pacific Research Methodologies have been used to acknowledge relationality and responsibilities to research participants. In the context of the University of British Columbia where Pacific peoples are not represented, vakaturaga (a Fijian methodology about practicing chiefly obligations to others) can be applied to support the assertion of Fijian epistemology in diaspora, invite the tracing of kinship to place the researcher in a lineage of those who have come before, and challenge the reader and researcher to actively envision long-term responsibility to participants. Vakaturaga can be practiced using collaborative poetry that outlines kinship and reminds the reader and researcher of their responsibilities, alongside outlining explicit commitments to the application of the research findings. Overall, vakaturaga can support the continued practice of obligations to participants’ shared stories and can support the work of representing the Pacific at the University of British Columbia.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.044 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".