The impact of the European Association of Endoscopic Surgery research grant scheme—a mixed qualitative quantitative methodology study protocol
Bibliographic record
Abstract
Background: The European Association of Endoscopic Surgery (EAES) is a surgical society who promotes the development and expansion of minimally invasive surgery to surgeons and surgical trainees. It does so through its activities in education, training, and research. The EAES research committee aims to promote the highest quality clinical research in endoscopic and minimally invasive surgery. They have provided grant funding since 2009 in education, surgery, and basic science. Despite the success and longevity of the scheme, the academic and non-academic impact of the research funding scheme has not been evaluated. Aims: The primary aim of this project is to assess the short, long term academic and real world impact of the EAES funding scheme. The secondary aims are to identify barriers and facilitators for achieving good impact. Methods: This will be a mixed qualitative and quantitative study. Semi-structured interviews will be performed with previous grant recipients. The questions for the interviews will be selected after a consensus is achieved amongst the members of the steering committee of this project. The responses will be transcribed and thematic analysis will be applied. The results of the thematic analysis will be used to populate a questionnaire which will be disseminated to grant recipients. This study is kindly funded by the EAES. Discussion: The first question this project is expected to answer is whether the EAES research funding scheme had a significant positive impact on research output, career progression but also non-academic output such as change in clinical guidelines, healthcare quality and cost-effectiveness improvement. This project however is also expected to identify facilitators and barriers to successful completion of projects and to achieving high impact. This will inform EAES and the rest of the surgical and academic communities as to how clinicians would like to be supported when conducting research. There should also be a positive and decisive change towards removing factors that hinder the timely and successful completion of projects.
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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 | 0.044 | 0.029 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".