Cultivating the Arctic’s Most Valuable Resource: An Analysis of Barriers to High School Completion Among Inuit Youth in Nunavut
Bibliographic record
Abstract
This paper discusses the results of a survey on the high school experience of youth in 5 Nunavut communities. The survey consisted of personal interviews with youth cur-rently in high school and with individuals that have dropped out of high school. Youth were asked about their attendance at school, resources at school, their home life and peers and their personal wellness. While the existing literature has, qualitatively, iden-tified important mechanisms leading to early high school exit in Nunavut communities, our data allows us to quantify the relative importance of the various factors influencing high school dropout rates for youth living in Nunavut. The variable most associated with youth in school thinking about dropping out of school is alcohol consumption- a student who drinks is 25 % more likely to think of dropping out relative to a student who does not drink. For the out-of-school sample, we investigated factors associated with dropping out of school (as opposed to graduating from high school). We find that a youth whose friends dropped out of school is 20 % more likely to have dropped out of school. A parent’s attitude toward schooling, education level and occupational status have an impact on a number of different aspects of a child’s likelihood of dropping out. A youth’s awareness of the economic returns to education also appears important for high school completion. We discuss potential policy implications of these results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".