MétaCan
Menu
Back to cohort
Record W3013293959 · doi:10.5688/ajpe7864

A Historical Discourse Analysis of Pharmacist Identity in Pharmacy Education

2020· article· en· W3013293959 on OpenAlex

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.

Bibliographic record

VenueAmerican Journal of Pharmaceutical Education · 2020
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPharmacistPharmacyIdentity (music)Discourse analysisMedical educationMedicineLinguisticsFamily medicineArtAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Objective. To determine the discourses on professional identity in pharmacy education over the last century in North America and which one(s) currently dominate. Methods. A Foucauldian critical discourse analysis using archival resources from the American Journal of Pharmaceutical Education ( AJPE ) and commissioned education reports was used to expose the identity discourses in pharmacy education. Results. This study identified five prominent identity discourses in the pharmacy education literature: apothecary, dispenser, merchandiser, expert advisor, and health care provider. Each discourse constructs the pharmacist's professional identity in different ways and makes possible certain language, subjects, and objects. The health care provider discourse currently dominates the literature. However, an unexpected finding of this study was that the discourses identified did not shift clearly over time, but rather piled up, resulting in students being exposed to incompatible identities. Conclusion. This study illustrates that pharmacist identity constructs are not simple, self-evident, or progressive. In exposing students to incompatible identity discourses, pharmacy education may be unintentionally impacting the formation of a strong, unified healthcare provider identity, which may impact widespread practice change.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.726
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.080
GPT teacher head0.506
Teacher spread0.426 · 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