Pairing Inuit and scientific knowledge of anadromous Arctic char, Iqalukpik, (Salvelinus alpinus) ecology in the western Canadian Arctic
Bibliographic record
Abstract
,This research paired Inuit and scientific knowledge of sympatric populations of anadromous Arctic char, Iqalukpik (Salvelinus alpinus) in the Amundsen Gulf in the western Canadian Arctic to examine fish appearance, origin, movement, and health. Sixteen Elders and fishers from Ulukhaktok, Northwest Territories were engaged through semi-structured interviews and workshops, during which they shared some of their knowledge of local anadromous Arctic char populations and co-interpreted the results of morphometric, telemetry, and health analyses on those same populations. Analysis of these discussions revealed points of alignment and divergence between Inuit and scientific knowledge, and gaps in our collective understanding of the species. Inuit participants confidently identified a fish’s lake-of-origin based on appearance alone, indicating differences in Arctic char morphology among lakes, contradicting the findings of scientific morphometric analysis. Participants confirmed two primary marine migration pathways for Arctic char also documented by telemetry, and a third pathway not captured by telemetry. Finally, a comparison of body condition factors (weight-length ratio) and participants’ assessments of fish health showed strong agreement, though participants employed a wider range of indicators, including stamina, skin and flesh colour, girth, and gill condition. By pairing Inuit and scientific knowledge, this research offers an enriched understanding of Arctic char, which is crucial for the effective monitoring and co-management of this species of significance to Inuit
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".