Bibliographic record
Abstract
Being a product of its time, it will come as no surprise to readers that Medical Education has published a flurry of papers focused on different aspects of Diversity, Equity, and Inclusion (DEI) recently. In fact, since we dedicated a State of the Science issue to the topic 7 years ago,1 there has been a steady drip of relevant publications that has only increased in pace with no fewer than three “When I Say” articles2-4 seeking to add a degree of definitional clarity in addition to the empirical works that have been undertaken.5 Some of that empirical evidence has offered reasons for the journal to be proud of its contributions in these regards. Madden et al, for example, reported that female representation among first authors has increased from 6% in 1970 to 60% in 2019.6 We routinely publish papers from more than 30 distinct countries each year. And, while four of those countries account for more than half of our submissions, the journal has made considerable effort to build a diverse team of advisors with those same four countries accounting for fewer than a quarter of our board members.7, 8 Through their advice, we strive to contribute to the development of health professional education scholarship in all regions that are invested in becoming world leaders in this field. “Strive” is the operative word, however, as such work is never complete and we certainly do not believe the journal to “have it right.” Part of the challenge is that we have too little data. I am, therefore, pleased to report that Wiley, the journal's publisher, has proudly co-signed the Joint Commitment for Action on Inclusion and Diversity in Publishing.9 As part of that decision, they have committed to enabling self-reporting of demographic data for authors and reviewers (with details to come as they strive to ensure respectful and appropriate processes). They have also implemented the capacity for authors to include pronouns in article bylines should authors wish to do so. Through these and other means, we hope to better understand how to support more diverse sets of communities including those advocated for by Russel in this issue.10 You can also strive to help by taking the time to respond to our DEI working group's request for guidance if you have not done so already.11 That group has been led splendidly by Rola Ajjawi who has recently agreed to take on a new position of DEI Lead for the journal. In that role, Rola will continue her proactive efforts to keep Medical Education moving in the right direction while liaising with various others to take advantage of synergies where they can be found. One such synergy has already arisen as we will soon begin trialling an innovation used by Neera Jain in her teaching of critical appraisal: Adding a box to our review form that requests comment from peer reviewers regarding whether submissions engage with human difference and/or power structures in a manner that is appropriate for the focus of the article. I am also thrilled to announce this issue to be the first to include a new section in the journal dedicated to sharing ideas about educational developments in diverse corners of the globe. Consider it Extra Really Good Stuff because our indefatigable Really Good Stuff (RGS) Editor, Brownie Anderson, has scoured submissions to isolate a few that reflect intriguing innovations from under-represented areas. This first batch contains articles from Bahrain, Brazil, India, Israel, Korea, Mexico, Pakistan, and Sierra Leone that focus on issues including multicultural experiences in global classrooms,12 contraception training,13 and team-based learning.14, 15 Additional good news for authors is that those wishing to be included in this section in future issues need not submit to a separate competition as we will continue to try to identify papers that fit well from the pool of RGS papers received during the standard May 1 and November 1 deadlines. To enable any such initiatives, we must thank the incredible team of reviewers who so admirably enable the journal's contents to be curated. Each year, we isolate a few (from far too many exceptional individuals) for special commendation with our Choice Critics Awards. Recognized for going above and beyond the call of duty in 2021 are Mercedes Carreras (Yale University, USA), José Maia (Universidade Federal de Sao Paulo, Brazil), Glenn Regehr (University of British Columbia, Canada), Joshua Strange (Salford Royal NHS Foundation Trust, UK), and Dale Sheehan (University of Otago, New Zealand). Joining them as 2022 award winners are Maggio, Costello, Norton, Driessen, and Artino whose work entitled, Scoping reviews in medical education: A scoping review, received the Silver Quill Award for most downloaded article16; Matthew, Eftychiou, French, and Hare whose article, ‘Just in time’ rapid learning during COVID-19, received the Henry Walton Prize for most downloaded Really Good Stuff paper.17 In addition, we are pleased to announce that Katherine Moreau has won the Medical Education Developing Scholarship Award and that July 2022 witnessed the entry of our 10th cohort of editorial interns, which includes Helen Church (University of Nottingham, UK), Lynelle Govender (University Cape Town, South Africa), and Benjamin Kinnear (University of Cincinnati, USA). Congratulations to each individual listed, the reviewers and editors who supported them, and the local teams with whom they do their work. Kevin W. Eva Editor-in-chief
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.038 | 0.196 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.026 | 0.031 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.019 | 0.037 |
| Insufficient payload (model declined to judge) | 0.041 | 0.037 |
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 source (direct Gemma or distilled Codex), 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".