Salt in the wound: embodied everyday adaptations to salinity intrusion in the Sundarbans
Bibliographic record
Abstract
The relationship between everyday lives and the climate changed present is layered, complex, and deeply embedded in social context. In the Sundarban region of India and Bangladesh, the entangled web of development, anthropogenic climate change, and so-called climate change adaptation projects (such as concrete embankments, the hardening of coastlines, and brackish aquaculture) have interrupted natural adaptation processes and caused environmental degradation that negatively impacts those who live there. Scholars have called for better frameworks to link between everyday struggles and macro-level processes of climate change and development. Building on a long-term ethnographic engagement and existing theories of everyday adaptations to climate change, I utilize salinity intrusion as a case study showcasing the complicated interlinkages of climate change and development on daily life. I argue that there are three interlinked processes of increases and accumulations of salt: naturally occurring, exacerbated by capitalism and development, and exacerbated by climate change. Residents describe the consequences of salinity intrusion as they materialize in their bodies, evidence of the external imposition on their lives. I argue that although climate change is the cause of environmental transformation, it interacts with local conditions in diffuse ways that social science needs to pay attention to. Looking at the causes and consequences of salinity intrusion in tandem allows us to see past hegemonic thought and makes way for understanding climate adaptation outside of the constraints of neoliberal development paradigms.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".