Pilimmaksarniq: working together for the common good in science curriculum development and delivery in Nunavut
Bibliographic record
Abstract
This article outlines the practices informing and the preliminary outcomes derived from these practices in a 5-year school community science development project in three schools in the Qikiqtani (Baffin Island) region of Nunavut. The development process attempts to apply the guiding principles of Inuit Qaujimajatuqangit (IQ) to the improvement of science curriculum delivery in a manner that honors the knowledge, principles, and values the communities regard as integral to who and what they are. A basic foundation of IQ is the ground rules, customs, and the right way of doing things for Inuit. For this reason, the article outlines the processes guiding and informing the development process. Particular attention is devoted to the development of a quantitative instrument available in both Inuktitut and English that is used to inform school community discussion and monitor the degree of success in the development process. Outcomes of the initial stages of the project are discussed and implications of these outcomes for renegotiating future activity are considered.
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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".