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Record W1988695350 · doi:10.15173/jpc.v2i1.114

Risk Communication and the Disclosure Dilemma: The Case of Ottawa's Endoscopy Infection 'Scare'

2013· article· en· W1988695350 on OpenAlexafffundvenueabout
Josh Greenberg

Bibliographic record

VenueJournal of Professional Communication · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsCarleton University
FundersMcMaster University
KeywordsDilemmaRisk communicationMedicineEndoscopyGeneral surgeryPolitical sciencePublic relationsSurgeryRisk analysis (engineering)

Abstract

fetched live from OpenAlex

In 2011, Ottawa Public Health announced that a non-hospital medical clinic had failed to follow proper infection control measures over a period of 10 years, resulting in the potential exposure of several thousand patients to Hepatitis and HIV. This paper discusses the health department's risk communication strategy, in particular its decision to delay the disclosure of information to the public and the reactions this provoked. The case study provides an opportunity to revisit several key themes: the role news media play in framing public health risk events; the ethical obligations that health communicators have in times of health risk or crisis; the practical limitations that often impose themselves in these circumstances; and how changes in media technology are transforming the landscape for risk communication today and the implications of these changes in the future. ©Journal of Professional Communication, all rights reserved.

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)0.009
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.782
Threshold uncertainty score0.433

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0480.023
Scholarly communication0.0100.006
Open science0.0030.008
Research integrity0.0260.021
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.347
Teacher spread0.329 · 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 designQualitative
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

Citations5
Published2013
Admission routes4
Has abstractyes

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