Dams, Diversions, and Development: Slow Resistance and Authoritarian Rule in the Salween River Basin
Bibliographic record
Abstract
Abstract We engage geography's longstanding debate on what “counts” as resistance by introducing slow resistance to account for temporal‐political strategies against unjust developments, particularly under authoritarian conditions. We draw on over a decade of fieldwork in the Salween River Basin where dams and diversions have been proposed since 1979, including the most recent iteration, the Yuam River water diversion project in Northwest Thailand. We find that resistance by impacted communities and civil society encompasses slow, strategic, and considered actions over time and generations. Such resistance is necessarily protracted to contest developments (re)proposed over decades. By foregrounding the strategic use of time and temporality, we highlight often overlooked actions and strategies of resistance by a diverse range of actors, showing how resistance movements are incremental and interconnected over time, even when “under the radar”. These strategies are key to contesting and (re)shaping the conditions of development in the Basin.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".