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Record W3037366497 · doi:10.1177/1049732320933863

The Factors That Promote Vaccine Hesitancy, Rejection, or Delay in Parents

2020· article· en· W3037366497 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsDistrustQualitative researchPsychological interventionPerceptionPsychologyHealth carePublic healthMedicinePublic relationsEnvironmental healthNursingPolitical scienceEconomic growthSociologyEconomics

Abstract

fetched live from OpenAlex

Vaccines are some of the most cost-effective public health interventions for reducing disease burden and mortality. However, in recent years, health systems have faced a growing challenge with increasing number of parents who choose not to vaccinate their children. This decision has important implications for the health of communities worldwide, and despite a considerable amount of research that reinforces vaccine effectiveness and safety, there is uncertainty surrounding the factors that may encourage vaccine hesitancy in parents. In this interpretive review of 34 qualitative studies, we examine the factors that bolster vaccine hesitancy, rejection, and delay, and identify the overlaps and relationships between these factors. We depict our findings using the metaphor of a gear train where each gear represents one of seven factors: previous experiences; "natural" and "organic" living; perceptions of other parents; experiences interacting with health care providers; information sources, challenges, and preferences; distrust in health system players; and mandatory vaccine policies.

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.

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)0.011
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.509
GPT teacher head0.572
Teacher spread0.064 · 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