Bourdieu in the North: Practical Understanding in Natural Resource Governance
Bibliographic record
Abstract
Natural resource management (NRM) analyses often avoid understanding environmental governance as arising from and shaped by social practices and power relations in resource conflicts, contested property rights, and political-economic strategies. I examine a northern Canadian Aboriginal community’s experience of a structured yet dynamic socio-cultural response to a period of social and political change. Drawing from Pierre Bourdieu’s conception of social practice I suggest that a diffuse, or less-determinist, theory of practice may help explain how power relations are interwoven throughout yet applied differentially in NRM governance. Drawing on ethnographic research on northern watershed management and protection of Aboriginal cultural landscapes, I propose the notion of practical understanding to explain the ways government resource managers and community leaders challenge and negotiate one another’s conceptions of environmental governance in a duel process of cooperation-conflict.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.117 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| 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".