Continuities and transformations in the practices and narratives of religious identities and literacy development: Bangladeshi Hindus in Canada
Bibliographic record
Abstract
Bangladeshi Hindu diaspora in Canada is a new phenomenon that requires careful observation to learn about their identity formation and literacy practices in relation to their religious affiliations and practices.Identity formation, and literacy and integration practices of diasporic communities have been the focus of multiple studies for some decades.Past social, ethnic, and literacy experiences of immigrants significantly influence their integration in a host society.Drawing on theoretical concepts such as religion-as-social-capital, the role of religion in identity formation, New Literacy Studies, and the Continua of Biliteracy, I document the relationship between religious affiliations and language and literacy practices of seven recruited Bangladeshi Hindu families in GTA (Greater Toronto Area) Canada.This is an ethnographic interpretative study that employs multiple data collection and analysis approaches.Interviews, observation, photography, and reflective tasks were used to collect data.For the analysis of multilayered data in this study, a combination of analytical approaches was used: grounded theory, narrative inquiry, Critical Discourse Analysis, and situational analyses.The findings suggest that religious affiliations and practices shelter and bind the participants in their new country, contribute to their overall integration into the host society, and work as resources for their literacy development.The findings should not be generalized as the number of participants is very small and individual stories might vary.This study aims to empower language and social studies teachers to initiate dialogues on cross-cultural and cross-religious issues to promote democratic citizenship in public school and adult learning systems in Canada.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| 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".