Demoralization-led migration in Bangladesh: A sense of insecurity-based decision-making model
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
Political hostility, unrest and flawed governance cause insecurity leading to demoralization, which triggers migration. There is a large body of literature on the determinants of international migration that highlights a range of factors to explain the direction and strength of migrant flows. For this research we interviewed 32 respondents who were a control group in a study conducted a decade ago. These respondents were determined not to migrate, but their migration decision was reversed over a period of 10 years. This article explores the relation between a sense of insecurity and the demoralization that influences migration decisions. It further investigates the causes that contributed to this change. As democracy shrinks, authoritarianism expands, implying that there is no accountability. This leads a country to widespread corruption, creating severe social injustices. People in general become demoralized and decide to migrate out. This article adds to the body of work by focusing on whether the migration decision is a response to widespread corruption, prevailing political conditions, violence, conflict, poor governance, an absence of rule of law and freedom or declining of democratic space in Bangladesh.
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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 | 0.001 | 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 | 0.000 |
| 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