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International anatomy partnerships ‐ Results of international student basic sciences internships initiated via the anatomy course

2020· article· en· W3016471115 on OpenAlexaff
Anette Wu, Monica Kieff, Geoffroy Noël, Richard Wingate, Heike Kielstein, Takeshi Sakurai, Suvi Viranta, C. L. Chien, Hannes Traxler, Jens Waschke, Franziska Vielmuth, Mandeep Gill Sagoo, Shuji Kitahara, Kevin A. Keay, Jørgen Olsen, Paulette Bernd

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsMcGill University
Fundersnot available
KeywordsInternshipInternationalizationMedical educationGeneral partnershipBiological sciencesPsychologyMedicinePolitical scienceBiology

Abstract

fetched live from OpenAlex

Introduction Anatomists, as scientists, are a great resource for medical students’ scientific research interests. Recently, a new role for the Anatomy course in internationalization of medical education has emerged. Here we report on student experiences from international basic sciences research internships that were initiated via the anatomy course – combining two educational aspects of anatomy: the basic sciences and internationalization of medical education. Material and Methods A multi‐directional basic sciences research interchange was initiated as part of an international exchange program that is based on an international partnership of 13 anatomy departments. 200 preclinical medical students initially participated in an online international exchange segment, before embarking on optional basic sciences internships abroad. Based on students’ preferences, anatomy faculty at 13 international medical schools worked together on sourcing and student placement into basic sciences laboratories. Areas of research included a wide range of topics (e.g., immunology, genetics, tissue engineering, diabetes research, etc). At two time points (i.e., before and after travel), a questionnaire with multiple‐choice questions, Likert scales, and open‐ended questions, assessed the students’ learning experience qualitatively. Results A total of 82 students participated in international travel during 2019. As of now, 51 have completed the pre travel questionnaire and 26 the post travel questionnaire. Almost all of the partner schools sent and received students. Students improved both their understanding of the basic sciences and their basic sciences research skills, formed networks for future collaboration, and experienced an international cultural interchange. The majority of students felt that the basic sciences experience was important for their careers, and they wished to continue their involvement. Discussion Anatomy courses can foster a student’s interest in science and research, and introduce an international component to basic science experiences as study abroad programs. Providing international basic sciences research opportunities expands research options for students, including in areas of interest that are not available at the home institution, provides a baseline for future collaboration and helps students becoming leaders outside of their home institution.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.007
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0250.005

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 head0.068
GPT teacher head0.325
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations1
Published2020
Admission routes1
Has abstractyes

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