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Record W4200112281 · doi:10.1177/13634593211064115

Constituting good health citizenship through British Columbia’s COVID-19 public updates

2021· article· en· W4200112281 on OpenAlexaffabout
Philippa Spoel, Naomi Lacelle, Alexandra Millar

Bibliographic record

VenueHealth An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCitizenshipEthosPublic healthPolitical scienceRhetorical questionMoral responsibilityPublic relationsAgency (philosophy)Social responsibilityGood citizenshipSociologyCollective responsibilityPublic administrationLawSocial sciencePoliticsMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has augmented discourses of individual citizen responsibility for collective health. This article explores how British Columbia, Canada's widely praised COVID-19 communication participates in the development of neo-communitarian "active citizenship" governmentalities focused on the civic duty of voluntarily taking responsibility for the health of one's community. We do so by investigating how public health updates from BC's acclaimed Provincial Health Officer Dr. Bonnie Henry articulate this civic imperative through the rhetorical constitution of the "good covid citizen." Our rhetorical analysis shows how this pro-social communication interpellates citizens within a discourse of behavioral, epistemic, and ethical responsibilisation. The communal ethos constituted through this public health communication significantly increases the burden of personal responsibility for health beyond norms of self-care. Making the protection of community health primarily the responsibility of individual citizens also presumes a privileged identity of empowered, active agency and implicitly excludes citizens who lack the means to successfully fulfill the expectations of good covid citizenship.

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 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)0.004
metaresearch head score (Gemma)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0450.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.207
GPT teacher head0.454
Teacher spread0.247 · 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 teacher head, not a consensus.

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

Citations7
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHealth An Interdisciplinary Journal for the Social Study of Health Illness and MedicineSame topicRhetoric and Communication StudiesFrench-language works237,207