Changes in Language, Communication and Thought: A Study on Linguistic Discrimination against the Indigenous People of the Chittagong Hill Tracts, Bangladesh
Bibliographic record
Abstract
The Chittagong Hill Tracts that situated in the southeastern part of Bangladesh bordering Burma and India has been known as a conflict zone in South Asia. The conflicting situation between the indigenous peoples and Bengalis was worsened due to immigration of Bengalis, displacement of the indigenous peoples, and military intervention in the Hill Tracts. Putting an end of the two- and half-decade-long bloody conflict, an agreement (“peace agreement”) was signed in December 02, 1997; nonetheless, still the region is neither a peaceful nor a secured region to its inhabitants. However, in the conflicting situation that began in the 1970s, the indigenous minorities are to adopt with the mainstream society and culture. This paper attempts to explore the ‘cope mechanism’ in which the indigenous peoples are communicating with the mainstream Bengalis, focusing on (the situations of) the indigenous languages among other resources of culture. Here ‘cope mechanism’ is not only to manage their fear, and conflict in Chittagong Hill Tracts, but also to negotiate the cultural dimension, in which the Hill culture is schematized both in the Bengalis views toward Hill culture and the indigenous peoples views on their own culture.Key words: Indigenous; Conflict; Displacement; Pahari; Bangali; Bangla Language; Assimilation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".