Bibliographic record
Abstract
In this article we discuss how the incorporation of selected technologies (i.e., outboard motor, snowmobile) in Northern Ontario profoundly and irrevocably transformed two Cree nations located in the Hudson Bay Lowlands. We demonstrate how this technological integration has provided two remote First Nations in Canada with the ability to adapt to biophysical and socio-cultural changes, thereby sustaining traditional livelihood and providing food security. Interviews conducted in 2006–2010 with the Weenusk First Nation at Peawanuck, and the Washaho First Nation at Fort Severn are used to contextualize the discussion and answer the following research questions: (a) Are a greater or smaller number of people in these two First Nations engaged in subsistence behaviour today than in the past?; (b) Are these harvesters more or less successful?; and (c) Are levels of subsistence consumption different? The findings indicate that while less people are generally participating in traditional subsistence activities, access to traditional foods due to technology remains, for the time being, the same. The sustainability of these activities on the long-term is examined in the conclusion.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".