Dialogue, displacement and return - contexts of a journey on a two-way road: Anishinaabek responses to all-weather roads through Waabanong Nakaygum: memory and continuity on the eastern shores of Lake Winnipeg and beyond
Bibliographic record
Abstract
East of Lake Winnipeg is what conservationists call the ‘east shore wilderness’ / ‘heart of the boreal.’ The largest contiguous tract of unindustrialized boreal forest on Earth, this area has been the focus of 15 years of discussion and planning in Manitoba. The area is also designated Waabanong Nakaygum, a homeland to the Anishinaabek of this bush-meets-lake region. Waabanong has seen limited access during the industrial period of personal mechanized mobility due to a lack of constructed all-weather roads. However, an older pattern of travel and mobility does exist across the land, for centuries constituting traditional Anishinaabek patterns of land use and trade. As all-weather roads are being constructed along Lake Winnipeg, oral interviews will examine the question: will the older trails remain in the collective culture of the people or shall the north-south cultural and economic flows replace the east-west bush history traced by the rivers that wind through?
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.017 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".