MétaCan
Menu
Back to cohort
Record W2769273705 · doi:10.3968/9739

Cultural Construction of Health and Health Seeking Behavior in Rural Bangladesh

2017· article· en· W2769273705 on OpenAlexvenueno aff
Shanzida Farhana

Bibliographic record

VenueCross-cultural communication · 2017
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsCausationHealth careSocial determinants of healthIdeologyPsychologySocial psychologyPhenomenonHealth belief modelQualitative researchSociologyHealth promotionPolitical scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

Health is one of the elementary needs of human being. People seek and find out multiple options and practices within and beyond the boundary of the society for healthcare services. There are so many socio-cultural, ideological and psychological aspects to understand health and seeking health. This article investigates on the role of culture in health care behavior. As part of the methodological issues, qualitative approach like informal in-depth interview is applied. The major findings of the research are health behavior is found to be a complex phenomenon since it is subject to a number of determinants ranging from psychological, biological, cultural, social to the economic once. As well as different beliefs and practices contribute to the causation of diseases as they provide the framework for perceiving causes and seeking treatment. Traditional health behavior is found to exist alongside modern one and an important impact of co-existence.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.405
Teacher spread0.349 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCross-cultural communicationSame topicChild Nutrition and Water AccessFrench-language works237,207