Experiencing Land Loss: Land Dispossession in the Name of National Security in Sylhet District, Bangladesh
Bibliographic record
Abstract
This article focuses on the inhabitants of Ratargul living next to the Sylhet Cantonment of the Bangladesh Army. Since 1977, construction of the cantonment has gradually driven villagers from their land, with no significant opposition. This alienation will soon reach full completion through the new extension plans of the cantonment. Villagers anticipate this expansion with fear and express anger at the poverty caused by land appropriation. However, in their accounts, dukkho (grief) overshadows their fear and anger. What do they grieve for, exactly? The article suggests that dukkho is an expression of grief over material losses but also of pain over the disappearance of previous forms of life. Additionally, dukkho represents villager’s regret over missed opposition opportunities that did not materialize because they were misled; as low-caste Hindus they lack solidarity; and it is still unclear who is responsible for the land capture: the army or the government.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".