Lost in Translation? Exploring Outcomes of Nunavut’s Resource Development Training and Employment Policies for Inuit of Northern Baffin Island
Bibliographic record
Abstract
The Northern Review 47 (2018): 31–57On 6 September 2013 the Mary River Inuit Impact and Benefit Agreement (MRIIBA) was signed between the Qikiqtani Inuit Association (QIA), representing the Inuit of Baffin Island, and Baffinland Iron Mines Corporation (BIMC). Among other things, the MRIIBA is intended to promote Inuit employment and training as a way of maximizing local benefits from the mine. Drawing from qualitative research that followed twenty-two formerly-employed and employed mine workers, this article critically evaluates the agreement’s outcomes, which have yet to fulfill the stated employment goals and training provisions. Contributing to these dismal outcomes is a communications gap between local Inuit and the land claims organizations responsible for brokering the agreement with the project proponent. The article explores the resulting gaps in communication between community members and various stakeholders involved with the project, and concludes by offering considerations for future agreements.
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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 | 0.023 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".