MétaCan
Menu
Back to cohort
Record W2155196557

Impact of various sources of AIDS information among ever married men and women in Bangladesh.

2004· article· en· W2155196557 on OpenAlexvenueno aff
M. Monirul H. Khan, Md Alamgir Kabir, Mitsuru Mori

Bibliographic record

VenueWorld health & population · 2004
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsnot available
Fundersnot available
KeywordsDisseminationNewspaperLogistic regressionInformation DisseminationEnvironmental healthMedicineDeveloping countryInformation source (mathematics)Health informationDemographyEconomic growthHealth careAdvertisingBusinessSociologyTelecommunicationsWorld Wide WebComputer science
DOInot available

Abstract

fetched live from OpenAlex

This study examined the impact of various sources of AIDS information among ever married men and women in Bangladesh using nationally representative data. Logistic regression analysis identified that television radio and newspaper/magazines were the effective way to disseminate the AIDS related information. Exposure to two or more sources of AIDS information were found highly effective compared with only one source. Therefore this study underscores the need for disseminating suitable AIDS messages from multiple sources simultaneously. (authors)

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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 designObservational
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

Citations8
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueWorld health & populationSame topicICT in Developing CommunitiesFrench-language works237,207