Effects of disciplinary cultures of researchers and research trainees on the acceptability of nanocarriers for drug delivery in different contexts of use: a mixed-methods study
Bibliographic record
Abstract
The acceptability of nanomedical applications, which have the potential to generate ethical and societal impacts, is a significant factor in the deployment of nanomedicine. A lack of fit between nanomedical applications and society's values may result from a partial consideration of such impacts. New approaches for technological evaluation focused on impact perception, acceptance, and acceptability are needed to go beyond traditional technology assessment approaches used with nanotechnology, which focus mainly on toxicological and safety criteria. Using a new evaluative approach based on perceived impacts of nanotechnology, the objective of this study was to assess perceptions among researchers and research trainees familiar with emergent technologies and from different disciplinary background the scope of acceptability judgments made towards the use of nanocarriers. This mixed-methods study was based on scenarios presenting two types of drug-delivery nanocarriers (carbon, synthetic DNA) in two contexts of use (lung cancer treatment, seasonal flu treatment). Researchers and research trainees in the natural sciences and engineering, and the social sciences and the humanities were invited by email to take part in this project. An online questionnaire followed by semi-directed interviews allowed characterization of disciplinary divergences regarding to impact perception, acceptance, and acceptability of the scenarios. The results suggest that impact perception is influenced by disciplinary culture. Also, trends can be seen between respondents' profiles and variables of acceptance and acceptability, and certain components of the acceptability judgement are specific to each disciplinary culture. The acknowledgment and consideration of these disciplinary divergences could allow, among others, for opening up interdisciplinary dialogue on matters related to the acceptability of nanomedical applications and their developments.
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How this classification was reachedexpand
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 | 0.027 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".