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Record W3034718244 · doi:10.1002/ase.1993

Dissection versus Prosection: A Comparative Assessment of the Course Experiences, Approaches to Learning, and Academic Performance of Non‐medical Undergraduate Students in Human Anatomy

2020· article· en· W3034718244 on OpenAlex
Sean McWatt, Genevieve Newton, Gary J. Umphrey, Lorraine Jadeski

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

VenueAnatomical Sciences Education · 2020
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of GuelphMcGill University
Fundersnot available
KeywordsCohortDissection (medical)Medical educationPsychologyEducational measurementLearning curveStepwise regressionMedicineCurriculumSurgeryPedagogyComputer sciencePathologyInternal medicine

Abstract

fetched live from OpenAlex

Many institutions rely upon prosection-based laboratories as more resource-efficient and time-effective alternatives to traditional cadaver dissection for human anatomy education. To facilitate growing enrollment numbers despite resource limitations, the University of Guelph (a non-medical institution) introduced a modified "stepwise" prosection-based laboratory cohort to supplement a dissection-based course. In this design, all students attended the same lectures, but those in the dissection-based cohort learned by performing regional dissections and students in the prosection-based cohort studied from those dissections. Prosection students thereby witnessed a "slow reveal" of structures throughout the course. This study compared the perceived course experiences, student approaches to learning, and academic performance between the two groups. Multiple linear regression analyses were used to isolate the effect of the laboratory environment on student approaches to learning and academic performance from demographic and situational covariates. Both groups reported positive course experience ratings and high average final grades that were not statistically dissimilar (P > 0.05), increased reliance on deep approaches to learning (P = 0.002), and decreased reliance on surface approaches to learning (P = 0.023). When controlling for covariates, participation in dissection had small but statistically significant positive associations with deep approaches to learning (P = 0.043), performance on laboratory oral assessments (P < 0.001), and average final grades (P = 0.039). Ultimately, both designs promoted meaningful learning and desirable performance outcomes, indicating that both dissection and stepwise prosection have the potential to facilitate high quality human anatomy instruction.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.061
GPT teacher head0.391
Teacher spread0.330 · 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