The Pacific Salmon Experiment in Northern Ontario and the “Indian Problem”
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
Between 1954 and 1956, the Ontario Department of Lands and Forests attempted to naturalize two species of Pacific salmon in the Hudson Bay region. While this experiment failed, it accidentally resulted in the naturalization of pink salmon in North America’s Great Lakes, accounts of which typically footnote the experiment. Reversing the focus, this article foregrounds the Pacific salmon experiment, placing it in the context of “experimentalist” wildlife management projects and state nutritional surveys directed at Indigenous communities in northern Canada. Drawing on Hugh Shewell’s analysis of social science approaches to Canada’s so-called “Indian Problem,” this article argues that fisheries management in northern Ontario was animated by similar colonial assumptions about Indigenous communities and nutrition in the postwar era.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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