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Record W4410049672 · doi:10.1145/3711057

Residual Mobilities and Religious Practices: Exploring the Experiences of the Hindu Migrants in Canada

2025· article· en· W4410049672 on OpenAlex
Ananya Bhattacharjee, Mohammad Rashidujjaman Rifat, Dipto Das, S M Taiabul Haque, Syed Ishtiaque Ahmed

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

VenueProceedings of the ACM on Human-Computer Interaction · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMobilitiesHinduismResidualGeographySociologyReligious studiesAnthropologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Informed by the previous HCI and CSCW scholarship on residual mobility -- a concept that transcends mere geographical relocation to encompass socio-cultural and communal disruptions -- this study probes the unique religious and spiritual challenges faced by the Hindu migrants from the Indian subcontinent in Canada. Through interviews with 20 participants, we investigate the role of technology in navigating a diverse religious landscape in professional environments, coping with changing religious materiality, and passing down traditions to the next generation. Our work identifies the community's proactive use of social media and videoconferencing for religious festivals and connection with their religious community. The findings raise several implications for CSCW research on supporting residual mobility experiences of the Hindu migrants, including effective organization of religious event information, virtual support for material aspects of religious rituals, and fostering online environments that enable pluralistic spiritual engagement.

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)0.001
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 score0.247
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.001
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 head0.100
GPT teacher head0.299
Teacher spread0.199 · 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