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Record W4410347885 · doi:10.5334/pme.1681

Beyond Traditional: Clearing the Roadblocks to Advancement in Academic Medicine

2025· article· en· W4410347885 on OpenAlexaff
Pilar Ortega, Mara L. Becker, Teresa M. Chan, Kimberly D. Manning

Bibliographic record

VenuePerspectives on Medical Education · 2025
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcMaster UniversityToronto Metropolitan University
Fundersnot available
KeywordsClearingAcademic medicineMedical educationAlternative medicineMedicineData scienceComputer sciencePathologyBusiness

Abstract

fetched live from OpenAlex

In academic medicine, the label of nontraditional is often used to refer to scholars whose outputs or journeys differ from what is considered normative. Those who do not sufficiently align with traditional expectations may be at risk of being excluded from fully participating or achieving advancement in academic medicine, an experience that disproportionately affects groups who have been historically marginalized and underrepresented in medicine. In this eye opener, the authors use the lenses of their own stories in academic medicine to illustrate some of the traditional roadblocks experienced by these scholars, such as the lack of mentorship, the tendency to overlook or discourage work on nontraditional topics, and difficulty fitting innovative scholarship formats into curricula vitae or promotion packets. To clear the roadblocks, the authors call upon institutional leaders to enhance their processes, support systems, and criteria for learner and faculty academic advancement. Secondly, the authors call upon individuals to consider how they might engage in and frame their scholarly pursuits in a way that their merit can be readily ascertained.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.402
Teacher spread0.378 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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