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
Abstract As social scientists of water, we need to keep evaluating the analytical tools we use. Through the example of floods, we here develop a critique of one of those tools, the hydrosocial cycle framework, in order to expand our conceptualizations of water. The hydrosocial cycle is a re‐elaboration of the classical hydrological cycle which explicitly politicizes and denaturalizes the study of hydrological systems. In political ecology, such a conceptual framework has been pivotal to the understanding of how water circulates in society through a complex web of power relations, economic structures, and processes that are at the same time spatial and historical. But when we deploy this concept to examine floods, a number of limitations emerge. In this article, we formulate three specific theses which focus on those limitations: (a) an overemphasis on society, (b) a lack of attention to ecology and, more generally the relationships between water and other nonhuman elements and processes, and (c) a heuristic overreliance on the metaphors of flow and cycle. In developing these three theses, we discern alternative paths of analysis to conceptualize floodwaters at a time when these events increasingly constitute a significant threat to humans and nonhumans alike. Our hope is that this critique will also contribute to broader interdisciplinary debates about water and society. This article is categorized under: Human Water > Water as Imagined and Represented Water and Life > Conservation, Management, and Awareness Human Water > Water Governance
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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