Mining a Better Future: Approaching Economic Growth and Sustainable Communities in Context of Mining in Nunavut
Bibliographic record
Abstract
Resource development near isolated communities in Nunavut exacerbates preexisting social problems that are insufficiently ameliorated by the policy frameworks addressing them.Data from Baker Lake shows rising crime rates correlating with the mine's arrival; and failure to ameliorate stagnant, declining education outcomes.The current framework of policy is comprised of loosely coordinated efforts by the federal and territorial governments.Supplemental community-driven research was found to identify additional interventions that garner renewed local support and heightened efficacy.Economic modeling of estimated costs and benefits of these interventions within three alternatives: a local, regional, or territorial rollout, revealed plausible net benefits at various discount rates.Additional qualitative evidence of pros and cons for each alternative supported recommendation of up to three local pilot project(s) to assess efficacy of these interventions to mitigate, ameliorate, and prevent the negative side effects of resource development in Nunavut, and remove barriers to equitable sustainable economic growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".