MétaCan
Menu
Back to cohort
Record W2884651471 · doi:10.14745/ccdr.v41is4a02

“Do Bugs Need Drugs?” A community education program for the wise use of antibiotics

2015· article· en· W2884651471 on OpenAlexafffundvenueabout
Mary Carson, D M Patrick

Bibliographic record

VenueCanada Communicable Disease Report · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia HospitalAlberta Health Services
FundersAlberta Health Services
KeywordsGovernment (linguistics)Resistance (ecology)CurriculumBusinessPublic healthAntibiotic resistancePublic relationsHealth careMedicineNursingMedical educationAntibioticsPolitical science

Abstract

fetched live from OpenAlex

"Do Bugs Need Drugs?" is a community and professional education program designed to address antibiotic resistance by decreasing the inappropriate use of antibiotics. Resources have been developed for physicians, pharmacists, nurses and the public, including children, their parents and caregivers, teachers, employers and workers, and long-term care facilities. There are four key strategies: consistent messaging (e.g., handwashing is the best way to stop the spread of infections); networking (through dedicated committee members who have engaged government ministries, professional organizations, health care organizations, academia, industry and businesses, and community groups); aligning interests (e.g., engaging nursing and medical students to deliver a program on antimicrobial resistance (AMR) to Grade 2 students as part of their community health curriculum); and containing costs (e.g., partnering with other organizations for distribution of materials and sharing administrative and printing costs between the Do Bugs Need Drugs programs in Alberta and British Columbia). There is evidence now of an increased willingness in the scientific and medical community to discuss the risks associated with antibiotic use and of growing public awareness that AMR is linked to misuse and overuse of antibiotics.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.290
Teacher spread0.248 · 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.

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

Citations8
Published2015
Admission routes4
Has abstractyes

Explore more

Same venueCanada Communicable Disease ReportSame topicAntibiotic Use and ResistanceFrench-language works237,207