Public perception of scientific advisory bodies: the case of France’s Covid-19 Scientific Council
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
Abstract During the Covid-19 pandemic, many governments have resorted to scientific advisory bodies to aid in public health decision-making. What then has been the public’s perception of those new structures of scientific advice? In this article, we draw on a survey conducted in November 2020 among a representative sample of the French adult population (n = 1,004) designed specifically to explore public perceptions of the dedicated Covid-19 Scientific Council created in March 2020 and of scientific advice in general. After only 8 months, three-quarters of French people said they had heard of it, but only a quarter had a positive opinion about its usefulness. Despite the diversity of perceptions of what scientific advice is and should be, it appeared that scientific advice bodies are perceived as useful mainly by a public already largely supportive of the delegation of the management of public life to the government and public institutions.
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 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 | 0.019 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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