Modern Water Ethics: Implications for Shared Governance
Bibliographic record
Abstract
It has been suggested that water and social values were divorced in modernity. This paper argues otherwise. First, it demonstrates the historical link between ethics and politics using the case of American water governance. It engages theories regarding state-centric water planning under ‘high modernism’ and the claim that water was seen as a neutral resource that could be objectively governed. By developing an alternate view from the writings of early American water leaders, J.W. Powell and W.J. McGee, the paper offers a way to understand the project of state-centred governance without the claim that water falls to the latter half of a society/nature dualism. Second, the paper reviews how the emerging ‘water ethics’ discourse helps organise both the ethical and legal norms at play within contemporary political shifts towards decentralised governance. The review identifies how McGee's early influence may warrant more attention, both in terms of water governance and environmental ethics. The paper concludes by arguing that, given the arguments presented, success in decentralising water governance turns not only on political considerations, but also on fairly ordering normative claims as part of fostering and extending the reach of coordinated water governance.
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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 | 0.030 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.078 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".