Getting out there: developing an abstract editing circle
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
Context and setting As the medical education field develops, more researchers seek to disseminate their scholarship at conferences. Although the number of submissions to conferences is growing, the amount of podium time has remained relatively static. Consequently, abstract evaluation processes are becoming increasingly competitive. Why the idea was necessary In 2007, recognising the need to help local medical education researchers compete for podium time at high-impact conferences, we developed an abstract editing circle (AEC). The purpose of the AEC is to help researchers write conference abstracts that more effectively present their research findings with the aim of improving their chances of acceptance. Our AEC provides two kinds of support. Firstly, AEC participants receive writing mentorship from senior medical education researchers. Secondly, the AEC fosters the development of peer groups that can provide ongoing writing support. What was done The AEC was advertised to local medical educators as a means to prepare abstract submissions for national and international conferences. Participation in the AEC was limited to nine people. Participants were placed into working groups of three people. Each group was assigned a local mentor, recruited by the AEC’s coordinator. The AEC is constructed from three elements. Firstly, three monthly instructional meetings were held with AEC participants. Each hour-long meeting was led by a different noted medical education researcher. Each session addressed specific abstract writing techniques and insights from the speaker’s experiences on conference review committees. Topics included: discourse analysis of previously accepted abstracts; strategies for presenting findings that will appeal to large audiences, and writing effective titles. The second element concerns feedback from local peers and mentors. Participants attended the first meeting with initial drafts of their abstracts. Following this meeting, participants: (i) exchanged abstracts with their working group peers and mentor; (ii) edited one another’s abstracts according to insights gained from the meeting, and (iii) reworked their own abstracts based on feedback from peers and mentor. Participants arrived at the second meeting with revised abstracts. At the second meeting, participants were grouped into new working groups with new mentors. After the second meeting, the abstract exchange, editing and reworking processes were repeated within the new groups. This structure was repeated again after the third meeting. The third element refers to editorial review from senior Canadian medical education scholars. After the last group review, all participant abstracts were e-mailed to three senior mentors (recruited nationally). These mentors reviewed and commented on the abstracts and then returned them to the participants. Participants finalised their abstracts and submitted them to conference competitions. By the time it came to be submitted, each participant’s abstract had been potentially reviewed by eight peers and six senior mentors. Evaluation of results and impact Seven abstracts from the 2007–2008 cohort of nine participants and four from the six participants in the 2008–2009 cohort were accepted for national or international conferences. The primary obstacle for the AEC has been organising meetings to fit in with the schedules of participants, mentors and presenters. Demand continues locally and modified versions of the AEC have since been adopted at three other Canadian universities. We are running the AEC in our local community again this year.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.015 | 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