A study of the impact of oil and gas development on the Dene First Nations of the Sahtu (Great Bear Lake) Region of the Canadian Northwest Territories (NWT)
Bibliographic record
Abstract
Purpose Beneath Canada's Northwest Territories lies a potential of 30 trillion cubic feet of natural gas. Will a $16 billion gas‐pipeline bring prosperity or gloom? Will this bring employment opportunities for local people or will more qualified people be brought in from southern communities? The purpose of this paper is to give an account of what Dene residents of the Sahtu Region have to say about oil and gas development. Design/methodology/approach Starting in 2005, in‐depth interviews with people across the Sahtu Region are conducted. Findings Respondents recognise the short‐term advantages of building a pipeline, but they are concerned about the long‐term impact on the environment that currently ensures their livelihood. Research limitations/implications This study begs for a longitudinal follow‐up. Practical implications Policy‐makers may benefit from knowing the feelings of their constituents. Originality/value This timely study reveals long‐term environmental and social impacts of short‐term development. This is especially important in a region where people believe that they have an obligation to the land upon which they live.
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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 | 0.008 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".