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Record W2153297078 · doi:10.1186/2052-3211-7-8

The future of medicines use and access research: using the Journal of Pharmaceutical Policy and Practice as a platform for change

2014· article· en· W2153297078 on OpenAlexaff
Zaheer‐Ud‐Din Babar, Andy Gray, Ayyaz Kiani, Sabine Vogler, Peri J. Ballantyne, Shane Scahill

Bibliographic record

VenueJournal of Pharmaceutical Policy and Practice · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsTrent University
Fundersnot available
KeywordsGlobePharmacyPublicationPharmaceutical policyMedicineAccess to medicinesAlternative medicinePublic relationsDisseminationHealth policyPolitical sciencePublic healthFamily medicineNursing

Abstract

fetched live from OpenAlex

Scientific journals are most often used to disseminate the end products of research, but also have an important role as instruments of change. One year after the launch of the Journal of Pharmaceutical Policy and Practice, the focus of articles published has been on pharmaceutical health systems research, including contemporary issues related to medicines management, socio-behavioral aspects of pharmacy and macro pharmaceutical issues. Our most cited articles ranged from those on generic medicines in Jordan [1], antibiotics sensitivity, usage and access in India and Namibia [2,3], to a review of national medicines policies around the globe [4]. At this point the Journal has successfully provided a forum to publish within its specified themes. However, given the technological and social changes in health, medicines and public policy, we are keen to promote the Journal of Pharmaceutical Policy and Practice as a platform for change, in order to advance specific agendas. We would argue that this change agenda is underpinned by the following issues:

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)0.019
metaresearch head score (Gemma)0.037
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.537
GPT teacher head0.549
Teacher spread0.013 · 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 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

Citations3
Published2014
Admission routes1
Has abstractyes

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