Educating for Cultural Survival in Nunavut: Why Haven’t We Learned from the Past?
Bibliographic record
Abstract
This is a paper about the culture of the Inuit in the Nunavut Territory of the Canadian Arctic, and the role that education should take in preventing its slow dilution, demise, and loss. The measures to be taken are evident. Inuit philosophy (Inuit Qaujimajatuqangit) must be the framework, and Inuit must be in control, not only of policy and curricula, but also of the school system, the schools, and the classrooms. It can take decades for outsiders embedded in a different culture to communicate and see through an unfamiliar worldview. Inuit do not have the luxury of time to wait for this to happen. Non-Inuit need to understand what Inuit are saying, to appreciate what they aim to achieve, and then get out of the way. If this is not done, the Inuit culture will go the way of so many other Indigenous cultures that once flourished. It’s inconceivable that we non-Inuit Canadians are willing not only to watch this happen but continue to be the cause.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.031 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".