Deliberating as a Public Representative or as a Potential User? Two Complementary Perspectives that Should Inform Health Innovation Policy
Bibliographic record
Abstract
While public involvement in health policy is gaining traction around the world, deciding whether practitioners of public involvement should encourage participants to deliberate from a personal or a collective perspective remains an object of contention. Drawing on an empirical study, the aim of this article is to generate methodological insights into these two perspectives. Our qualitative analyses illustrate how members of the public contributed differently to deliberations about the value of health innovations by alternatively sharing views as public representatives and as potential users. When engaging as public representatives, participants raised important collective concerns, and, when engaging as potential users, participants brought concrete details and contextual nuances to the group exchanges. Because these perspectives entail different yet mutually challenging ways of appraising health innovations, public engagement practitioners should foster both personal and collective perspectives.
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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 | 0.126 | 0.122 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.102 |
| Scholarly communication | 0.032 | 0.048 |
| Open science | 0.004 | 0.025 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".