The Expressive Function of Public Health Policy: The Case of Pandemic Planning
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.
Bibliographic record
Abstract
Many legal scholars well recognize that, in some instances, support for a law or policy may be primarily because of its expressive function, i.e. the statements it makes about underlying values. In these cases, the expressive content of a law or policy may actually overshadow its central purpose. Examples of this phenomenon, according to Cass Sunstein, include, for example, regulations against hate speech in the USA. He suggests that achieving the consequence (prohibiting hateful speech against certain groups) may not be the real focus (central purpose) of the law. Rather, the real focus is on the social meaning of these regulations—that bigotry is unacceptable in a liberal society. In this way, a particular law or policy can operate on many levels—while aiming to achieve a particular objective or behavior, it can also be a valuable tool for achieving other important social goals through its expressive function. This article applies this insight to the realm of public health policy, with particular attention to the case of pandemic planning, and suggests that public health policy and its overall goals may be well-served by deliberate regard for, and appropriate utilization of, the expressive function.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it