MétaCan
Menu
Back to cohort
Record W2606908797 · doi:10.1177/084456211504700206

Immunization Rejection in Southern Alberta: A Comparison of the Perspectives of Mothers and Health Professionals

2015· article· en· W2606908797 on OpenAlexaffvenueabout
Shannon Vandenberg, Judith C. Kulig

Bibliographic record

VenueCanadian Journal of Nursing Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHealth professionalsPsychologyMedicineQualitative researchNursingHealth careSociologyPolitical science

Abstract

fetched live from OpenAlex

Qualitative grounded theory was used to compare and contrast the understanding and decision-making process of non-immunizing mothers and health professionals' perceptions of these mothers' understanding and decision-making process. The sample comprised 8 mothers with purposefully unimmunized children under the age of 6 years and 12 health professionals. Semi-structured interviews were conducted and the data generated were analyzed using data immersion, memo-writing, and 3 stages of coding. The mothers and health professionals identified similar, interrelated factors influencing the mothers' decision, categorized into 4 groups: emotions, beliefs, facts, and information. Three primary themes were evident: the health professionals emphasized the influence of religion in decision-making to a greater extent than did the mothers, the meaning of evidence appeared to differ for mothers and health professionals, and mothers revealed a mistrust of health professionals. Immunization is a public health issue; collaboration and understanding are necessary to promote positive health outcomes in children.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.173
GPT teacher head0.483
Teacher spread0.310 · 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 designQualitative
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

Citations9
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Nursing ResearchSame topicVaccine Coverage and HesitancyFrench-language works237,207