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Record W4385499235 · doi:10.3138/cjc.2022-0080

Suppressing the Crisis: Moral Panics, Emerging Infectious Diseases, and the COVID-19 Conjuncture

2023· article· en· W4385499235 on OpenAlex
Sean P. Hier

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.

Bibliographic record

VenueCanadian Journal of Communication · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMoral panicCoronavirus disease 2019 (COVID-19)NarrativeFraming (construction)Coping (psychology)Window of opportunitySociologyIronstonePolitical science2019-20 coronavirus outbreakPandemicSocial scienceCriminologyPsychologyDiseaseHistoryMedicineInfectious disease (medical specialty)VirologyPsychotherapistPhilosophyPathology

Abstract

fetched live from OpenAlex

Background: The conjunctural moment of COVID-19 provides a window of opportunity to glean insights into the relationship between moral panics and emerging infectious disease narratives. Analysis: Using Penelope Ironstone’s 2020 essay on COVID-19 in keywords as a starting point, this article critically reflects on the ways that progressive social interests were unable to gain an upper hand in the process of narrating and defining the contradictions that were condensed in the crisis spurred by COVID-19. Conclusions and implications: The article extends Ironstone’s critique by explaining how COVID-19 keywords were expressed through a dominant pandemic narrative that discouraged as much as it incited moral panic by framing the preferred response to the crisis in terms of individualized coping strategies promising relative security from infection.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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