Constituting good health citizenship through British Columbia’s COVID-19 public updates
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.026 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".