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Unmasking the Structure of Gross Anatomy Laboratory Sessions During Covid‐19

2021· article· en· W3171105386 on OpenAlexaff
Jennifer F. Dennis, Stefanie M. Attardi, Danielle C. Bentley, Kirsten Brown, Gary J. Farkas, Haviva M. Goldman, Derek Harmon, Kelly M. Harrell, Barbie A. Klein, Christopher J. Ramnanan, Malli Barremkala

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsGross anatomyTest (biology)Coronavirus disease 2019 (COVID-19)Medical physicsSession (web analytics)Medical educationMedicinePsychologyAnatomyComputer sciencePathologyBiology

Abstract

fetched live from OpenAlex

INTRODUCTION/OBJECTIVE Covid‐19 created immediate challenges to anatomy education. The traditional format of gross laboratory sessions experienced a direct impact and few reports documented curricular delivery changes specific to laboratory format. The purpose of this study was to assess the adaptations incorporated in gross anatomy laboratories by anatomists, during May‐August 2020, in response to Covid‐19. MATERIALS/METHODS Data were collected through the IRB‐approved Virtual Anatomy During Covid‐19 survey that consisted of 20 questions, including open‐ended prompts asking participants to describe the structure of a “typical” laboratory session during Covid‐19. Responses were solicited from professional anatomy associations during June 2020. Open‐ended responses describing anatomy laboratory teaching methods used during Covid‐19 were coded. Descriptive codes were applied to the data according to published methods to summarize verbatim responses. Responses were tabulated and converted to frequencies and percentages. Chi square test assessed differences among the responses when applicable. Alpha<5%. RESULTS Descriptions of gross anatomy lab teaching during Covid‐19 were coded into four categories : (1) delivery format, (2) format of laboratory practice, (3) type of anatomy digital resources used, and (4) format of student teaching groups. In the first category, synchronous (46.7%), asynchronous (15.6%), and/or a combination of the two (18.8%) were the most frequent laboratory delivery formats (P<0.001). In the second category, student‐led dissection (17.2%), prosection (10.9%), and/or utilization of commercial and/or in‐house anatomical resources (26.2%) were the most frequent laboratory practices (P<0.001). Within this category, a subcategory was discovered in which physical distancing and personal protective equipment practices were reported (15.6%). Concerning the third category, anatomy digital resources (26.2%) were used for asynchronous laboratory preparation and laboratory sessions. In the final category, student small groups (29.7%) were used in remote sessions where “breakout rooms” permitted students to meet with peers and/or faculty. Large groups (9.4%) were used for faculty to review and present the assigned laboratory topic. CONCLUSION Anatomists largely taught through a remote, synchronous delivery format that relied on cadaveric specimens and digital anatomy resources, as well as small group learning. SIGNIFICANCE/IMPLICATION: This study shows that anatomists were able to adapt the gross anatomy laboratory sessions to synchronous, virtual mediums; however, the impact of these changes to the learner during this unconventional time remains to be determined.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.244
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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Citations0
Published2021
Admission routes1
Has abstractyes

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