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Record W3102117701 · doi:10.1108/jd-08-2020-0137

Information experiences of Bangladeshi immigrants in Canada

2020· article· en· W3102117701 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Documentation · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsWestern University
Fundersnot available
KeywordsImmigrationSettlement (finance)Descriptive statisticsEthnic groupRefugeeSociologyPersonally identifiable informationPublic relationsGeographyPolitical scienceComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.301
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it