Current landscape of research ethics consultation services: National survey results
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
Introduction: The goal of a research ethics consultation service (RECS) is to assist relevant parties in navigating the ethical issues they encounter in conduct of research. The goal of this survey was to describe the current landscape of research ethics consultation and document if and how it has changed over the last decade. Methods: The survey instrument was based on the survey previously circulated. We included a number of survey domains from the previous survey with the goal of direct comparison of outcomes. The survey was sent to 57 RECS in the USA and Canada. Results: Forty-nine surveys were completed for an overall response rate of 86%. With the passing of 10 years, the volume of consults received by RECS surveyed has increased. The number of consults received by a subset of RECS remains low. RECS continues to receive requests for consults from a wide range of stakeholders. About a quarter of RECS surveyed actively evaluate their services, primarily through satisfaction surveys routinely shared with requestors. The number of RECS evaluating their services has increased. We identified a group of eight key competencies respondents find as key to providing RECS. Conclusions: The findings from our survey demonstrate that there have been growth and development of RECS since 2010. Further developing evaluation and competency guidelines will help existing RECS continue to grow and facilitate newly established RECS maturation. Both will allow RECS personnel to better serve their institutions and add value to the research conducted.
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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 | 0.248 | 0.092 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.009 |
| 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