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Record W4380988486 · doi:10.1177/23821205231183866

An Innovative Master in Anatomy: Combining Anatomy With Educational Scholarship

2023· article· en· W4380988486 on OpenAlex
Alireza Jalali, Christopher J. Ramnanan

Classification

machine, unvalidated

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

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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".

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Medical Education and Curricular Development · 2023
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsScholarshipMedical educationAnatomyMedicinePsychologyPolitical science

Abstract

fetched live from OpenAlex

The purpose of this article is to describe the design of a unique, bilingual (English and French) Master of Applied Sciences (M.Sc.) in Anatomical Sciences Education (ASE) program at a Canadian postsecondary institution. Anatomy is a core foundational discipline that is essential to many undergraduate, graduate, and professional programs in the health sciences. However, the number of new individuals with the necessary knowledge base and the pedagogical training to teach cadaveric anatomy are in short supply and cannot satisfy the number of openings for trained educators in the field. The M.Sc. in ASE was created to meet the increasingly critical need for instructors trained in human anatomy. The program is designed to prepare students for a career teaching human anatomy to students in the health sciences, emphasizing hands-on cadaveric dissection. Moreover, this program aims to develop educational scholarship skills in trainees by leveraging faculty expertise in medical education research, particularly in the field of anatomy education research. This focus on scholarships will make graduates more competitive for future faculty positions. During their first year of the program, learners will develop clinically relevant anatomy knowledge, teaching skills, and anatomy education scholarship. In the second year, students will benefit from an immediate, hands-on application of this acquired knowledge. In the same year, students will serve as anatomy teachers in the faculty's Medical Program and conduct their education scholarship projects, culminating in a formal research paper. Although similar programs have been developed in recent years, this article provides the first description of the creation of a graduate program in anatomy education. It includes needs assessment, program development, challenges faced, and lessons learned during the approval process. The article serves as a valuable resource for other institutions aspiring to develop similar initiatives.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.308
Teacher spread0.295 · 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