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Record W2040011183 · doi:10.1080/13561820600874817

Negotiation of interprofessional culture shock:The experiences of pharmacists who become physicians

2007· article· en· W2040011183 on OpenAlexaff
Zubin Austin, Paul A.M. Gregory, Jennifer Martin

Bibliographic record

VenueJournal of Interprofessional Care · 2007
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNegotiationPharmacistFunction (biology)TeamworkPharmacySet (abstract data type)Medical educationSalientPsychologyNursingMedicineSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Professions generally operate within a shared set of values, symbols, and norms; in short, professions may be characterized as having somewhat unique sub-cultures. As inter-professional teamwork and collaboration gain prominence, understanding the inter-cultural dimensions of professional interactions may be useful in explaining how and why such teams function. One way of examining the unique (and common) elements of professional sub-cultures is to study the experiences of professionals who have "migrated" from one field to another. In this paper, the "culture shock" experience of pharmacists who have become physicians is described and discussed. Results from interviews with 32 pharmacist-physicians were used to frame four major themes that depict salient and unique characteristics of the cultures of pharmacy and medicine.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.448
Teacher spread0.428 · 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.

Study designQualitative
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".

Quick stats

Citations42
Published2007
Admission routes1
Has abstractyes

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