“You Made a Great Mistake…you left the [your] Job and Moved to Canada”: A Study on the Information Experiences of Bangladeshi Immigrants in Canada
Bibliographic record
Abstract
This paper reports on key findings from a recently completed doctoral study into the transitional information behaviour of Bangladeshi immigrants to Canada. The study uses a mixed method approach including semi-structured interviews (n=60) and surveys (n=205) with Bangladeshi immigrants who arrived in Canada between the years of 1971 and 2017. We discuss the information experience of participants in terms of their personal networks, information sharing fear, and information intelligence. Cet article rend compte des principales conclusions d'une étude doctorale récemment achevée sur le comportement informationnel des immigrants bangladais au Canada. L'étude utilise une approche mixte comprenant des entrevues semi-structurées (n = 60) et des enquêtes (n = 205) auprès d'immigrants bangladais arrivés au Canada entre 1971 et 2017. Nous discutons de l'expérience informationnelle des participants en ce qui conerne leurs réseaux personnels, la peur du partage d'informations et l'intelligence informationnelle.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".