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Record W2413364076 · doi:10.1177/1715163515599758

Election 2015

2015· article· en· W2413364076 on OpenAlexaffvenueabout
Jeff Morrison

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCanadian Pharmacists Association
Fundersnot available
KeywordsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Canadians will be heading to the polls in a federal election widely expected to occur October 19, 2015. Although the pundits would argue that political parties have been campaigning for months already, most election-related activities, such as public debates and door-to-door campaigning by candidates, will begin to ramp up in late summer and fall. As the 2015 federal election campaign moves into high gear, the Canadian Pharmacists Association (CPhA) has identified key recommendations and messages for federal political candidates on 3 key national issues of importance to the profession. These 3 issues include the following: Pan-Canadian Pharmacare Program: CPhA is seeking commitment from all federal political parties to work with the provinces/territories, health care professionals and other stakeholders towards the development of a pan-Canadian pharmacare program. Such a program must address coverage gaps between public and private systems, protect Canadians from undue financial hardship and guarantee access to a stable supply of clinically and cost-effective medications. Furthermore, the inclusion of access to pharmacy services under a pharmacare model is key to achieving better health outcomes and cost savings. National Plan for e-Prescribing: CPhA is calling on all parties to work with the provinces/territories, health care professionals and other stakeholders to implement a seamless e-prescribing system in Canada. CPhA is looking for the federal government to support the development and implementation of a common national standard for e-prescribing that ensures that Canadians’ prescription information can be more easily shared and accessed between relevant health providers, while respecting patient privacy and confidentiality. Strengthened National Immunization Strategy for Canada: Given Canada’s relatively low rates of immunization compared with other industrialized countries, CPhA is calling for a revamped National Immunization Strategy. The goal of a revamped strategy would be to increase immunization rates through a comprehensive approach that would include further expanding pharmacists’ scope of practice to administer vaccines. The National Strategy would also target increased research, comparable access and enhanced education/outreach, including building a partnership with the provinces/territories and health professionals to increase public awareness of the importance of vaccinations. In the lead-up to October 19, CPhA is encouraging pharmacists and other Canadians to promote and discuss these key recommendations with political candidates from all parties. To assist you, CPhA has assembled an election website at www.pharmacists.ca/election. On this website, you will find a print-ready brochure that summarizes the key recommendations, a more detailed platform document that provides background and rationale for these recommendations and an online tool that allows you to quickly and easily contact the candidates in your riding and send them messages of support for the above-mentioned priorities. Elections provide voters with an excellent opportunity to learn about and pin down the views of candidates and political parties on specific issues. This election is no different. Go to www.pharmacists.ca/election to share your thoughts with your candidates, and help CPhA advance these core 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 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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.644
Threshold uncertainty score0.850

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.001
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.4040.222

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 head0.032
GPT teacher head0.261
Teacher spread0.230 · 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.

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
Published2015
Admission routes3
Has abstractyes

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