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Record W4385157214 · doi:10.33368/inajoh.v2i02.33

Overview of the Use of Communication Media as a Health Information Center

2022· article· en· W4385157214 on OpenAlexaboutno aff
Nurfardiansyah Burhanuddin, Muhammad Sofhyan Fajrin, Zulfahmidah Zulfahmidah, Windi Nurul Aisyah

Bibliographic record

VenueIndonesian Journal of Health · 2022
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsHealth informationSocial mediaCategorical variableTest (biology)Health communicationDescriptive statisticsSample (material)Descriptive researchPsychologyMedicineComputer scienceHealth careWorld Wide WebSociologyStatisticsPolitical science

Abstract

fetched live from OpenAlex

Background and Purpose: Health information actually aims to collect, store and make patient health information available and easily accessible when needed. The purpose of this study is to describe the use of communication media as a health information center. Methods: This study is a descriptive research design. Data collected using a questionnaire. The data of this research are categorical variables from several groups so that it uses the frequency distribution test. Reference search results are entered into the Mendeley app using the Vancouver system. Results: shows a total sample of 103 people aged 20 years 5 people (4.9%), 21 years 13 people (12.6%), 22 years 57 people (55.3%), 23 years 23 people (22.3%) and 24 years 5 people (5.9%). Based on gender, 88 people (85.4%) and 15 women (14.6%) were obtained. Conclusion: respondents often receive health information through social media, respondents also find it useful after getting information and users also usually continue to return health information received to other users.
 Keywords: health information, students, health

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 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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0000.000
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 head0.112
GPT teacher head0.359
Teacher spread0.247 · 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 teacher head, 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

Citations0
Published2022
Admission routes1
Has abstractyes

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