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Record W4378418521 · doi:10.1080/15398285.2023.2211498

It’s Time to Recognize Wikipedia as a Health Information Resource

2023· article· en· W4378418521 on OpenAlexaff
Denise Smith

Bibliographic record

VenueJournal of Consumer Health on the Internet · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsBrock University
Fundersnot available
KeywordsEncyclopediaThe InternetHealth informationResource (disambiguation)Public healthPlain languageInternet privacyWorld Wide WebPublic relationsHealth educationMedicineLibrary scienceHealth careComputer sciencePolitical scienceNursing

Abstract

fetched live from OpenAlex

With more than 300 language editions, Wikipedia offers accessible health information written in plain language to a wide audience. Having survived more than twenty years, it is broadly considered the “grown-up” of the internet due to its sheer longevity and maturity. Along with evidence that Wikipedia is more reliable than widely believed, it has emerged as the most frequently accessed web site for health information despite a lingering stigma. Grounded in real-life examples of health events, the author reinforces Wikipedia as a tool for public health education. With wider acceptance of Wikipedia as a health information resource, existing opportunities for education, investment, and improvement of the world’s largest encyclopedia can be cultivated.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.006

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 head0.035
GPT teacher head0.377
Teacher spread0.342 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes1
Has abstractyes

Explore more

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