Specializing in Educational Leadership and Policy Studies
Bibliographic record
Abstract
Although the Inuit of Nunavut, Canada gained control of their educational institutions when the territory of Nunavut was formed on April 1, 1999 (Nunavut Land Claims Agreement Act, 1993), the high school graduation rates of Inuit students remain very low. Academic deficiencies exist in Nunavut, where from 1999 to 2006 only twenty-five percent of Inuit youths graduated from high school (Nunavut Department of Education, 2006). Inuit who do not remain in school have difficulty obtaining leadership positions in this new territory (Berger, 2006). This research was designed to answer the question: “What modern guideposts (nutaaq inuksuit) do Inuit perceive are needed to help more Inuit students complete high school in Nunavut, Canada? ” Qualitative case study methods were used that incorporated Inuit Traditional Knowledge (Inuit Qaujimajatuqangit). Traditionally, Inuit relied on guideposts (inuksuit) to help them navigate their way through unfamiliar territory. Conceptually, this study will suggest guideposts which encourage Inuit students to complete school by combining traditional and modern (nutaaq) knowledge. Living in the
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.122 | 0.018 |
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".