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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 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.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.453

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 communication0.0000.000
Open science0.0010.000
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 head0.053
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

Quick stats

Citations26
Published2020
Admission routes1
Has abstractyes

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