Liquid Laws: Extractivism and Unstable Authority
Bibliographic record
Abstract
This thesis concerns the co-constitution of extractivism and claims to authority, particularly in contexts where the legal narrative hides the ways that extractivism is facilitated. I examine how law implicitly structures extractivism, as well as how states use extractivism to generate authority. I look at this relationship in the context of international legal debates over the Antarctic Treaty, and a history of extractive interventions by the settler colonial state towards the Murray-Darling River Basin in south-eastern Australia. The way I read claims to authority engages both the violence and instability of these claims. The specific ways in which the relationship between extractivism and authority is enacted in these contexts depends in part on the spatial construction of water and ice. The co-constitution of extractivism and authority in these examples is also revealed both through imperial imaginaries that have material effects, and material practices that build a colonial legal imaginary.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.070 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".