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Record W3031360622 · doi:10.1145/3334480.3381819

Parareligious-HCI: Designing for 'Alternative' Rationality in Rural Wellbeing in Bangladesh

2020· article· en· W3031360622 on OpenAlexaff
Sharifa Sultana, Zinnat Sultana, Syed Ishtiaque Ahmed

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnographyInclusion (mineral)RationalityInformaticsWork (physics)SociologyDigital inclusionFocus groupHealth carePublic relationsPsychologyComputer scienceSocial sciencePolitical scienceThe InternetEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

A body of Human-Computer Interaction (HCI) research addresses a wide range of wellbeing issues including digital and online health-care, formal and informal healthcare and wellbeing infrastructure, and health informatics. We focus on the wellbeing practices among the underrepresented marginalized communities in rural Bangladesh. The goal of this work is to understand their wellbeing challenges and how those are connected to their religious beliefs and adaptations - that we define as 'Parareligion'. This paper presents our findings from a 3-year long ethnographic study with 150 participants in 15 villages. We extend this discussion by arguing for better inclusion of para-religious practices in Wellbeing-HCI discourse to design more culturally appropriate and sustainable technologies for such target communities.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.053
GPT teacher head0.283
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2020
Admission routes1
Has abstractyes

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