"This is different from the Western world": Understanding Password Sharing Among Young Bangladeshis
Bibliographic record
Abstract
This paper explores how cultural factors impact the password-sharing attitudes and practices of young Bangladeshi adults.We conducted semi-structured interviews with 24 Bangladeshi participants aged between 18 and 39 about how, why, and with whom they share passwords.Using Grounded Theory, we identified three stages of password sharing (motivations, expectations, and problems) and three cultural factors (gender identity, collectivist social norms, and religious identity) that impact password sharing in Bangladesh.We found that password sharing is pervasive, and deeply affected by Bangladeshi culture and identity.Young adults' motivations and expectations for password sharing were complex and nuanced, and often served poorly by the tools and accounts that they were attempting to share.We found that Bangladeshi culture creates a situation in which password sharing is inevitable, but where individuals are inconvenienced and sometimes endangered by the action.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".