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Record W1533631541 · doi:10.4212/cjhp.v61i1.21

Have We Fulfilled the Opportunity Crafted by Our Governance Task Force

2008· article· en· W1533631541 on OpenAlexvenueno aff
Richard Jones

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2008
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceAdaptabilityTask (project management)Corporate governanceClinical governanceService (business)Public relationsOutcome (game theory)PharmacyClinical PracticeSet (abstract data type)Task forceInclusion (mineral)Political scienceProcess managementBusinessNursingMedicinePsychologyManagementComputer scienceHealth careMarketingPublic administration

Abstract

fetched live from OpenAlex

J C P H – Vol. 61, n 1 – janvier–fevrier 2008 92 Council that will remain relevant for many years: customer service culture, alignment of products and services with mission, data-driven strategies, dialogue and engagement, the CEO as a broker of ideas, organizational adaptability, and alliance-building. In more clinical terms, these elements might be called patient centricity, alignment of medication therapy with outcome plans, use of evidence in clinical decisions, inclusion of the patient in the clinical team’s discussions, clinical leaders as the sources of ideas to achieve desired outcomes, adaptability to best meet the patient’s needs, and, finally, alliance-building, including the clinical elements and infrastructure needed to ensure desired patient outcomes. My suggested alignment of the administrative elements of a successful board with the more familiar clinical services delivery model of pharmaceutical care may be somewhat loose. However, these two layers of activity are critically important not just to the evolution of the practice of pharmacy, but also to our Society’s efforts to represent the collective interests of pharmacists during the revolution of our place in the interprofessional care of patients. The CSHP Council now has this additional set of lenses through which to view its continuous growth, and the members who follow in our footsteps in the years ahead will be better able to achieve in full our Society’s mission.

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)0.031
metaresearch head score (Gemma)0.065
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: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.065
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.011
Scholarly communication0.0160.015
Open science0.0010.010
Research integrity0.0110.017
Insufficient payload (model declined to judge)0.0420.013

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 head0.105
GPT teacher head0.356
Teacher spread0.251 · 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
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

Citations0
Published2008
Admission routes1
Has abstractyes

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