Nationwide study of publication misrepresentation in applicants to residency
Bibliographic record
Abstract
OBJECTIVES: This study was conducted to assess the prevalence of research publication misrepresentation amongst Canadian Resident Matching Service (CaRMS) applicants to a single surgical subspecialty residency as a potential means of assessing professional behaviour. METHODS: The authors reviewed CaRMS application forms to Canadian otolaryngology residency programmes over a 3-year period (2006-2008) for peer-reviewed publications reported as 'published', 'accepted' and 'in press'. Citations were verified by searching PubMed, Google Scholar and electronic journals. Misrepresentation was defined as any of: (i) falsely claimed authorship of an existing article; (ii) claimed authorship of a non-existing article, and (iii) improper ordering of authorship. Outcomes included descriptive statistics, as well as sub-analyses pertaining to age, gender, affiliated medical school and academic degree, and number of publications per applicant. RESULTS: A total of 427 peer-reviewed publications were reported by 124 of 182 applicants (68% of applicants reported at least one publication). Of the 385 verifiable publications, 47 (12% of articles) were misrepresented by 29 applicants (23% of applicants claiming publication) self-reporting at least one publication. Age, gender, location of medical training, prior academic degree and number of citations per applicant did not relate to likelihood of misrepresentation (p > 0.05). CONCLUSIONS: This study documents the nationwide prevalence of publication misrepresentation amongst applicants to Canadian otolaryngology residency programmes. The high rate of misrepresentation aligns with data reported in the literature and highlights the need to institute measures to dissuade graduates from this form of unprofessional behaviour.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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; 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".