Managed out of existence: over-regulation of Indigenous subsistence fishing of the Yukon River
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Humans are adversely affected by the loss of vital fishery resources, specifically Indigenous peoples and the traditional knowledge systems that are foundationally tied to their culture. Discounting the ability and knowledge of Indigenous peoples stems from concepts rooted in “Tragedy of the Commons” in which a shared resource, in this case fisheries, if left unchecked will be destroyed by the mismanagement of users. The Alaskan fisheries policy regime is recognized as one of the best managed and influential fisheries in the world, but the state is predominantly driven by a conservation approach that discounts other knowledge systems. Alaskan Native fishers, for example the Gwich’in, who maintain a sustainable 30,000 year (conservatively) relationship with their environment, possess culturally specific Traditional Ecological Knowledge (TEK) that is a result of the mechanisms or physical act of fishing, thus giving meaning to the term we will use in this paper, Indigenous Fishers’ Knowledge (IFK). Alaskan Natives along the Yukon River derive specific knowledge about their environment and King Salmon through the act of fishing. TEK is not static nor is IFK as it is transmitted to younger generations through the practice of fishing. TEK and IFK play a large role in the transmission and acquisition of knowledge, they both connect knowledge to culture and play a role in creating culture and traditions, they are in fact very intricate systems. Indigenous fishers seek inclusion and involvement that does not separate them from their knowledge but recognizes and implements their practices/control on a local level.
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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 it