Power/knowledge and natural resource management: Foucaultian foundations in the analysis of adaptive governance
Bibliographic record
Abstract
In this paper, we present a conceptual framework extending Foucaultian insights on the relations between power and knowledge to link up with current insights into studies of natural resource management (NRM) and more broadly environmental studies. We classify discourses in NRM according to understandings of social–ecological systems and argue that grasping those larger contexts can push NRM in a different direction, forming a base for more informed and inclusive decision-making. We then reconstruct the importance of materiality, the physical world, for the functioning of NRM within social–ecological systems. The concept of livelihoods is added to our developing Foucaultian frame, as material/discursive entwinements which structure responses of many stakeholders in NRM. Finally, we present an expansion of Foucaultian NRM into adaptive governance thinking as a logical outcome of basic insights into power/knowledge, developed and contextualized in current NRM and its critical analyses
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.006 | 0.094 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".