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Record W1980213129 · doi:10.3821/145.3.cpj111

Bob Nakagawa Takes on Registrar Position at BC College

2012· article· en· W1980213129 on OpenAlexvenueaboutno aff
Kathie Lynas

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2012
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPosition (finance)PsychologyComputer scienceArithmeticMathematicsBusiness

Abstract

fetched live from OpenAlex

Bob Nakagawa has left his position as Assistant Deputy Minister (ADM) of the Pharmaceutical Services division of the BC Ministry of Health to become Registrar of the College of Pharmacists of BC. A former president of both the College and the Canadian Society of Hospital Pharmacists, Mr. Nakagawa has held numerous posts in hospitals and government for the past 3 decades. He is recognized as an expert in public drug plan management and has provided advice in this area to provincial, federal and international governments. Mr. Nakagawa has chaired the Drug Benefits Committee for BC Pharmacare and the Federal Pharmacy and Therapeutics Committee for Canada. He has a pharmacy degree from the University of British Columbia and a residency in hospital pharmacy from Vancouver's St. Paul's Hospital. Mr. Nakagawa joined the College in early April — replacing interim Registrar Suzanne Solven. Ms. Solven, Deputy Registrar, stepped into the role in September 2011, when Marshall Moleschi left to become Registrar at the Ontario College of Pharmacists.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.289
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2470.090

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 head0.110
GPT teacher head0.344
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes2
Has abstractyes

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