Provincial learning: The role of higher education in the production of regional societies on Canada’s margins
Bibliographic record
Abstract
This paper will explore higher education’s role in producing or reinforcing regionalized societies in the Canadian periphery – particularly the provincial norths. This paper will engage with Jorgen Ole Baerenholdt’s ideas on “coping” as a way of describing how marginal societies deal with distance and harsh climate to continually reproduce their societies. This paper will explore the idea of institutionalized higher education as a coping mechanism in the northern and rural regions of Canada’s provinces, and the consequent potential for higher education to act as a mechanism of centralized control while also acting as an engine of local autonomy. This paper will apply Scandinavian ideas of space and society to a Canadian context, with the intention that new perspectives on the north/south, rural/urban divide may be found. This paper will engage with higher education as a political, economic, and geographic force in non-metropolitan Canada, with reference to higher education’s unique potential as a forum for representation and self-determination in places considered by many to be peripheral or marginal.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".