MétaCan
Menu
Back to cohort
Record W4225134799 · doi:10.1002/jac5.1628

Representation of diversity within written patient cases: Exploring the presence of a “hidden curriculum”

2022· article· en· W4225134799 on OpenAlex
Kyle John Wilby, Dianne Cox, Anne Marie Whelan, Vibhuti Arya, Heidi Framp, S. Mansour

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

VenueJACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSexual orientationCurriculumDiversity (politics)Race (biology)PsychologyHidden curriculumRepresentation (politics)PopulationSocial psychologyGender studiesDevelopmental psychologyPedagogySociologyDemographyPolitical science

Abstract

fetched live from OpenAlex

Abstract Background There are urgent calls to dismantle systemic racism and discrimination in pharmacy education and practice. It is recommended that educational programs critically review learning materials for occurrences of stigmatization that may reinforce population biases and stereotypes. Previous studies, as well as premises from race and queer theories, suggest that written cases that do not appropriately include or acknowledge patient diversity may promote a “hidden curriculum” that may foster implicit biases in student healthcare professionals. Objectives The purpose of this study was to explore the existence of a “hidden curriculum” within case‐based learning materials by determining the extent to which underrepresented populations were represented in case descriptions and how representation occurred within groups. Methods This was a qualitative content analysis of written patient cases (n = 76) used throughout the problem‐based learning curriculum at the College of Pharmacy, Dalhousie University (Halifax, Nova Scotia, Canada). Proportions were calculated for each variable identified to represent the categories of interest (race, gender, sexual orientation, relationship status, and presence of disabilities). Quantified data were analyzed and themes were identified to represent each category assessed. Results Data across all categories were mostly “undefined.” The most defined variables within each category were: white (race, 17.1%), female (gender, 53.9%), heterosexual (sexual orientation, 35.2%), married (relationship status, 29.6%), and wheelchair (disability, 1.3%). Defined variables were representative of dominant cultural groups with little representation of underrepresented populations. Themes identified were undifferentiated (race), binary (gender), heteronormative (sexual orientation), traditional (relationship status), and absent (disabilities). Conclusion Findings support the notion that there may be a “hidden curriculum” reinforcing biases and stereotypes due to the undefined nature of the cases. Educators should prioritize inclusion of diversity within cases as part of a coordinated plan, in order to ensure representation is appropriate and well‐distributed across the curriculum.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.643
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.202
GPT teacher head0.459
Teacher spread0.256 · 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