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Record W2312692587 · doi:10.1300/j381v09n04_01

P.O.W.E.R. Surfers

2005· article· en· W2312692587 on OpenAlex
T. Janik, Joann L. Chateau

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

VenueJournal of Consumer Health on the Internet · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsHôtel-Dieu Grace Healthcare
Fundersnot available
KeywordsWindsorHealth careGeneral partnershipEmpowermentPublic healthQuality (philosophy)MedicineSocioeconomic statusMedical educationNursingFamily medicinePublic relationsBusinessPolitical sciencePopulationEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Patients and health care consumers are often faced with confusion and bewilderment in their search for health information. A digital divide has been created within the socioeconomic brackets, leaving some without the skills, education, or access to quality health information. Robert Holland, a patient advocate, developed a partnership with the Windsor Public Library, Windsor Regional Cancer Clinic, and Hotel Dieu Grace Hospital in 1997 to begin the work of developing P.O.W.E.R. Surfers: Patients Online for Wellness, Education, and Research. This project's goals were to develop and maintain Web directories of reliable, credible consumer level health information, provide training and access, and empower patients and their families. Feedback from patients, physicians, and other health care providers has been very positive, indicating that this Web tool has provided both quality health information and empowerment to many patients. Many of the P.O.W.E.R. Surfers directories were created in response to consumer and physician requests.

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)0.008
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.080
GPT teacher head0.460
Teacher spread0.380 · 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