Waiting for the flood: technocratic time and impending disaster in the Himalayas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A landslide occurred in the region of Zanskar in the Indian Himalayas in 2015, damming the Tsarap River, creating a lake that effectively became a ticking time bomb, threatening villagers downstream. During the period between the discovery of the natural dam and the bursting of the lake, the state's approach to disaster management plunged the local population into a situation where 'technocratic time' ruled, as government experts handled the impending disaster at a rhythm dictated by the production of studies and reports. Analysis of the temporality of disaster mitigation and preparedness measures during this anticipated flood, as well as of the factors that surrounded the events, reveals how attitudes towards the state shaped people's perceptions of these interventions. In Zanskar, the technocratic pace and the state's lack of transparency were seen as a form of oppression that further marginalised the region, in particular by subjecting its population to the process of waiting.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it