Fish and fishing in the Upper Severn River Watershed: listening to stories and exploring changes over time
Bibliographic record
Abstract
Although relationships with fish and fishing remain central to culture, health, and daily life for many First Nation communities, ongoing effects of settler-colonialism, accelerating environmental change, and industrial activity threaten cultural continuity, health, and well-being. Research examining people–fish relationships, fishing practices, and interconnections between fish and health is lacking in Ontario’s Far North and nonexistent in the Upper Severn River watershed. To address these gaps and respond to the priorities of the Keewaytinook Okimakanak Tribal Council and member First Nations, this research examined how fish, fishing practices, and people–fish relationships interact with health and have changed over time. Community members from four First Nations ( n = 18) with experience fishing in the Upper Severn River watershed shared perspectives, stories, and experiences through conversational interviews. Thematic network analysis resulted in three global themes and nine organizing themes. Global themes include (1) interactions between fish, fishing, health, and well-being; (2) influences on, and effects of, changes surrounding fish and fishing; and (3) the future of fish and fishing. The discussion summarizes key contributions that are also priority areas for protecting and promoting the health of waters, lands, fish, and people of the Upper Severn River Watershed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".