Bibliographic record
Abstract
ABSTRACT The predominantly Inuit Arctic region of Nunavik in the Province of Québec, Canada, currently needs to address major challenges and opportunities. The region needs to develop more employment and wealth creation opportunities without sacrificing the vital land-based subsistence sector that provides food security, sustains cultural identity and provides social and economic stability. A decision about a new direction needs to be taken soon as major mining projects are developing at a rapid pace. In this paper we first assess existing socioeconomic and living conditions data to evaluate the state of social well-being in the region. In addition we report and analyse information from an economic forum in Kuujjuaq, Nunavik in April 2010. The purpose of the forum was to provide an opportunity for regional and local stakeholders to obtain information on specific economic opportunities for Nunavik and to discuss their merit for the communities. Based on our data evaluation and the outcomes at the forum we identify a possible sustainable development feedback envisioning process and discuss possible sustainable development directions for Nunavik.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".