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Record W1990762159 · doi:10.5195/hcs.2011.45

Equity Aspects of Canadian Immunization Programs: Differences within and between countries

2011· article· en· W1990762159 on OpenAlexaffabout
Mirella Veras, David Zakus

Bibliographic record

VenueHealth Culture and Society · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsImmunizationEquity (law)OutreachHuman rightsEconomic growthPsychological interventionRefugeePolitical scienceMedicineVaccinationPublic relationsBusinessImmunologyEconomicsNursingLaw

Abstract

fetched live from OpenAlex

There is a global recognition that immunization is one of the most cost-effective public health interventions which should be available to everyone. The equity approach to immunization provides a holistic and integrated framework for addressing inequalities and disproportions in the realization of human rights. The aim of this study is to review the performance of the immunization programs in Canada through an equity lens using two analytical frameworks for immunization programs. It focuses on four elements of the programs: a) the burden of disease; b) immunization strategy; c) ability to evaluate; and d) research questions. To achieve universal access to vaccination, Canada should have a strong connection with human rights, where realities and outreach need to be prioritized. Preventable diseases such as influenza, H1N1, and varicella have been reported specifically in Aboriginal Canadians, immigrants and refugees. Our study seeks to demonstrate that access to vaccines should be considered one of the most vital human rights and as a matter of fundamental intervention to achieve health equity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.072
GPT teacher head0.323
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2011
Admission routes2
Has abstractyes

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