Writing the Ethics of Water in Michael Ondaatje, Thomas King, and Anne Michaels
Bibliographic record
Abstract
In July 2010, the United Nations declared access to water and sanitation a human\nright. Certainly a success for water rights advocates worldwide, this resolution also poses\na number of questions, such as how to find and distribute this water on a planet that is\nrunning out of fresh water (Barlow et al, Blue Gold xi). With this question in mind, this\nthesis looks at the treatment of water management projects in Michael Ondaatje’s In the\nSkin of a Lion (1987), Thomas King’s Green Grass, Running Water (1993), and Anne\nMichaels’ The Winter Vault (2009). More specifically, it examines the ways competing\nvisions of the common good and of what development should (and should not) look like\nare imbricated therein. In so doing, my discussion focuses on the inextricability of social\njustice from water justice and it suggests that narrative can play a key role in connecting\nthe two.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.035 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".