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Record W4210717851 · doi:10.1080/21645515.2022.2028516

COVID-19 vaccination in 5-11 years old children: Drivers of vaccine hesitancy among parents in Quebec

2022· article· en· W4210717851 on OpenAlexaffabout
Ève Dubé, Dominique Gagnon, Catherine Pelletier

Bibliographic record

VenueHuman Vaccines & Immunotherapeutics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsCentre hospitalier de l'Université LavalUniversité LavalInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsVaccinationMedicineCoronavirus disease 2019 (COVID-19)Vaccine safetyFamily medicinePediatricsFocus groupImmunizationImmunologyDisease

Abstract

fetched live from OpenAlex

The Pfizer-BioNTech COVID-19 vaccine was recently authorized for Canadian children aged 5 to 11 years old. Previous studies have indicated that low parental vaccination intention can be anticipated. To better understand drivers of vaccine hesitancy among parents of 5-11 years old children, four focus group discussions were conducted. Interviewed parents generally showed little concern about the risk of COVID-19 for their child(ren) and many mentioned that children are at low risk of complications from COVID-19. Out of 28 participants, seven intended to vaccinate their child(ren) while the remaining were unsure or unwilling. Even if parents were themselves vaccinated, many hesitated for their child(ren). These parents perceived that it was unnecessary (due to low risk of complications) and were concerned about risks of side effects. Clear communication on vaccine safety and usefulness will be critical to reassure parents and foster vaccine acceptance.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.306
Teacher spread0.285 · 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.

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

Citations42
Published2022
Admission routes2
Has abstractyes

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