Bibliographic record
Abstract
Purpose Studies on the information behaviour of immigrants including refugees across the globe show a significant dependency of immigrants on their informal networks for meeting various settlement and everyday life information needs. Although there are quite a few studies in LIS that globally report the dependency of immigrants on their personal networks, very little is known about their experiences with their informal personal networks in the contexts of their settlement in informational terms. This paper explores the information experiences of Bangladeshi immigrants in Canada consulting informal networks including broader Bangladeshi community people in pre- and post-arrival contexts. Design/methodology/approach 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. Interview data were analysed thematically, and descriptive statistics are used to describe the survey data relevant to this study. Findings Although the overall scope of the original study is much larger, this paper features findings on the information experience derived from an analysis of the interview data with some relevant references to the survey data when deemed appropriate. This paper provides insights into the information experiences of Bangladeshi immigrants within their personal networks, including friends, family and ethnic community people. The findings of this study show that participants sometimes received discouraging, unhelpful or wrong information from their personal networks. The multiple dimensions of the information experiences of the study participants show the many consequences for their settlement lives. For some participants, settlement was particularly impacted by the concept of “information sharing fear” that emerged from the interviews. Information sharing fear relates to concerns that sharing information about the challenges faced by newcomers could be considered by potential immigrants as a kind of active “discouragement”. Participants described being sensitive to charges of envy or jealousy when they shared information related to challenges newcomers face, as friends and family see them as trying to prevent competition for social status. Originality/value The findings related to the information experiences of immigrants consulting informal networks has potential implications for research in various discipline such as LIS, migrational studies and psychology that explore the benefits of social networks in newcomers' settlement. The study also sets a ground to take a more holistic approach to the information experiences of newcomers, not just naming the sources newcomers utilize in settlement and everyday life contexts. The study also provides some future directions to comprehensively understand the culturally situated information behaviour of various immigrant groups.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".