Uneven Environmental Management: A Canadian Comparative Political Ecology
Bibliographic record
Abstract
Contemporary researchers of environmental management argue for community-based approaches in which local circumstances, skills, and concerns are respected. However, relying on local capacity opens up the possibility of establishing highly uneven management practices. The purpose of this paper is to explore the roots and effects of uneven environmental management. I develop a conceptual framework that identifies key elements of regional environmental-management regimes and then use it to compare experiences in two areas designated as Canadian biosphere reserves in 2000: Clayoquot Sound, BC, and Redberry Lake, SK. Analysis reveals that differences in property instruments and civic sectors affect the institutional capacity of each locality, opening the door for private forms of environmental governance in Redberry Lake. To explain how property instruments and civic actors operate, I illustrate how processes associated with property exchange, reterritorialization, valuation, and planning work together to produce a relatively robust and public regime at Clayoquot Sound and a more private form of stewardship at Redberry Lake. In consequence, uneven environmental-management practices may take root and reinforce social inequalities across the two regions.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.027 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".