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Record W2106283982 · doi:10.1177/0741088309342362

Internet Health and the 21st-Century Patient

2009· article· en· W2106283982 on OpenAlex

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

VenueWritten Communication · 2009
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThe InternetRhetorical questionScholarshipSubject (documents)Internet privacyHealth communicationSociologyPublic relationsPublic healthPsychologyHealth careWorld Wide WebComputer sciencePolitical scienceLinguisticsMedicineLawNursing

Abstract

fetched live from OpenAlex

Internet health—here, the public use of information Web sites to facilitate decision making on matters of health and illness—is a rhetorical practice, involving text and trajectories of influence. A fulsome account of it requires attention to all parts of the rhetorical triangle—the speaker, the subject matter, and the audience—yet most scholarship on Internet health focuses on the speaker only: it typically raises concerns primarily about the dangers of unreliable sources, suggesting that, where speakers are reliable and information is accurate, Internet health simply empowers patients. This essay turns attention to the other elements of the triangle. It argues that health information is a complex entity—not only transmitted but also transformed by the Web—and, further, that Internet-health users are a complex audience—not only informed but also transformed by the Web. Rhetorically-minded researchers are well positioned to study not simply the informed patient but rather, more comprehensively, the wired one.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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