Wolves, Ptarmigan, and Lake Trout: Critical Elements of a Northern Canadian Place-Conscious Pedagogy
Bibliographic record
Abstract
This paper explores the pedagogical benefits of combining remote winter wilderness travel and homestead living with reading, writing, and listening to personal narratives from the expedition region. A co-taught interdisciplinary university course will be used as a case study to demonstrate the ways in which this approach aids in developing place-consciousness—an awareness of storied landscapes—as well as the skills and mentality required for directly living with the land. It is our hope that the interdisciplinary content and experiential pedagogy employed in this course will enable students to re-establish vital relationships with nature that have been lost in our increasingly urban and technologically dominated lives. We will also discuss the use of uncommon and potentially controversial practices in our program such as fishing and hunting for food, and observing the skinning of wolves, that we believe are important elements of becoming genuinely place-conscious in the region of the Canadian north we study and visit. Tensions between our stated philosophies and actual practices are also revealed and examined.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".