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Record W2795533171 · doi:10.29173/cjs29301

Measles, Moral Regulation and the Social Construction of Risk: Media Narratives of “Anti-Vaxxers” and the 2015 Disneyland Outbreak

2018· article· en· W2795533171 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Sociology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of ManitobaCentre hospitalier universitaire de QuébecCarleton University
Fundersnot available
KeywordsNarrativeMeaslesOutbreakSociologyOrder (exchange)Media studiesSocial mediaCriminologyPolitical scienceLawMedicineVirologyVaccinationLiteratureBusiness

Abstract

fetched live from OpenAlex

This paper examines media coverage of the 2014-15 measles outbreak that began at Disneyland and spread throughout the United States and into Canada and Mexico. Specifically, it focuses on the construction of ‘anti-vaxxers’ as a central character in the outbreak’s unfolding narrative who came to represent a threat to public health and moral order. Although parents who hold strong anti-vaccine views are small in number, media representations of ‘anti-vaxxers’ as prominent figures fail to capture the broad range of views and behaviours that constitute what we today call ‘vaccine hesitancy’ and thus delimit our understanding of this increasingly complex health issue.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
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 head0.020
GPT teacher head0.277
Teacher spread0.256 · 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