Pursuing Alignment: A Comparison of Public Officials and Citizen Perception of Mine Development
Bibliographic record
Abstract
Maintaining legitimacy is a crucial objective for public officials to ensure effectiveness. Without legitimacy, political costs rise as the trust in government decreases and policy implementation is delayed; thus, officials handling resource development are encouraged to improve the acceptability of their processes. Therefore, it is essential for the government to understand the values and expectations of the citizens affected by resource development. Such an understanding assists the government in accomplishing its goals. This paper examines two cases, Norrbotten, Sweden, and Saskatchewan, Canada, both of which have established mining operations and similar regulatory frameworks and, during the commodities boom, experienced increased foreign investment and applications for new mines. While most mining projects in Saskatchewan faced little public opposition, some Norrbotten mines met contestation and protest. This paper utilizes survey data that focus on the perspectives of the residents close to the proposed mining operations, as well as interview data from public officials responsible for mine permitting, to examine the relationship between stakeholder influence and trust in government on the acceptability of mining.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".