The controversy of transferring the Class Environmental Assessment process to northern Ontario, Canada: the Victor Mine Power Supply Project
Bibliographic record
Abstract
Since Canada employs a federated system of government, there are separate environmental assessment (EA) processes at the national and provincial levels. In the Province of Ontario there is a streamlined, pre-approved, self-assessed process for ‘classes’ of projects. It is assumed that Class EA protocol developed in the southern Ontarian context is directly transferable to northern Ontario. A case-based approach, using the Victor Mine transmission line project, was employed to critically examine whether the Class EA template developed in southern Ontario should be applied to the western James Bay region of northern Ontario. Specifically, the two assumptions of Class EAs of predictability and manageability were examined. Interview and document data were used to inform a themed analysis. Results indicate that the western James Bay region is significantly different to southern Ontario. Thus, the Class EA template developed in and for southern Ontario is not transferable to the northern Ontarian context and the application of ‘cookie cutter’ EAs to other sub-arctic and arctic regions must be questioned.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".