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Record W4383265991 · doi:10.7577/pp.4993

Governing Professionals Through Discourses of Resilience and Value: A New Legitimation for Ontario Pharmacists

2023· article· en· W4383265991 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProfessions and Professionalism · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGovernmentalityLegitimationPublic relationsPharmacistGovernment (linguistics)Health carePharmacyValue (mathematics)SociologyPublic administrationProfessional associationNursingPolitical scienceMedicinePoliticsLaw

Abstract

fetched live from OpenAlex

In a neoliberal turn, the government of Ontario cut more than $750 million in funds that were traditionally received by pharmacies through dispensing medication. These funds were replaced with a state-funded program that would reimburse pharmacists for professional services related to patient care. The problem facing professional elites from Ontario pharmacy’s advocacy body was how to govern members of a self-regulating profession to switch subjectivities (identities) from the traditional dispenser of medication to providing patient care for profit. We address a gap in the literature and pose the question, how are the rank and file of allied healthcare professions governed by professional elites to become responsibilized subjects who will adopt state/profession agendas? Using a Foucauldian governmentality framework, our findings reveal that the rank and file are governed by elites through two technologies: resilience and value making possible a new “legitimate” pharmacist subjectivity related to the market and health care sustainability.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.348
GPT teacher head0.530
Teacher spread0.181 · 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