Le sens du Nord dans l’éducation et la formation au lieu : Exploration d’enjeux
Bibliographic record
Abstract
Les études sur la nordicité ont pris un essor considérable dans l’ensemble des agendas fédéraux et provinciaux depuis le tournant du millénaire au Canada. Toutefois, il est permis de se questionner sur le retard de l’éducation et de la formation en géographie au Québec, à s’intéresser au sens du Nord. Historiquement, l’éducation formelle a très peu considéré en effet les connaissances issues des communautés nordiques. Cet article examine la conceptualisation de nouveaux savoirs sur le sens du Nord comme sens du lieu (sense of place) au Québec et au Canada. L’élaboration de savoirs essentiels à enseigner et de compétences à développer sur le Nord peut constituer une réelle opportunité pour le renouvellement de l’éducation géographique et de l’éducation relative à l’environnement. Un tel renouvellement pourra contribuer à promouvoir l’écocitoyenneté dans la perspective du développement d’identités territoriales et culturelles, et de la prise en compte de nouvelles dynamiques spatiales d’humanisation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".