The Role of Stewards of Trust in Facilitating Trust in Science: A Multistakeholder View
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 Trust in science post-Covid appears to be a complex matter. On the one hand, the COVID-19 pandemic added value to the epistemic trustworthiness of scientific opinion and its potential to drive evidence-based policies, while it also spurred scientific distrust and societal polarization (e.g., vaccines), especially on social media. In this work we sought to understand the ways in which trust in science might be bolstered by adopting a multistakeholder perspective. This objective was achieved by considering stakeholders’ views on (a) how perceived key actors affect trust in science, and (b) what proposed actions can be taken by each actor identified. Data were collected using 16 focus groups and 10 individual interviews across different European contexts with general public ( n = 66), journalists ( n = 23) and scientists ( n = 35), and were analysed using thematic analysis. Regarding how perceived key actors affect trust in science, participants viewed policymakers, media, scientific and social media actors as occupying a dual function (facilitators and hinderers of trust in science), and pointed to the value of multi-actor collaboration. Regarding what actions should be taken for enhancing trust in science, participants indicated the value of enhancing understanding of scientific integrity and practices, through science literacy and science communication, and also pointed to social media platform regulation. Implications stemming from the data are discussed, considering how multiple identified stewards of trust can contribute to an ecosystem of trust.
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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 | 0.020 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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