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Record W2200269805

Saying no to childhood immunization : perceptions of mothers and health care professionals in Southern Alberta

2013· dissertation· en· W2200269805 on OpenAlexfundaboutno aff
Shannon Vandenberg

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
FundersGovernment of AlbertaUniversity of Lethbridge
KeywordsGrounded theoryImmunizationPerceptionHealth professionalsHealth careNursingMedicinePsychologyQualitative researchFamily medicinePolitical scienceSociologyImmunology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this grounded theory study was two-fold; first, to explore how mothers develop an understanding of childhood immunization which contributes to the decision¬making process resulting in a decision not to participate in immunization. Second, the perceptions of childhood immunization of health care professionals were also examined. The understanding and decision-making process of eight mothers was compared with the perceptions of twelve health care professionals. A number of themes were constructed from the research and a grounded theory was developed which emphasizes the importance of collaboration between non-immunizing mothers and health care professionals to promote positive health outcomes in children. The findings will assist health care professionals in understanding the factors contributing to the immunization decision-making process, which will subsequently support in delivering immunization programs. Recommendations to promote support and respect for parents' decision not to immunize their children, and assist in educating parents on immunization are also included.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.323
Teacher spread0.302 · 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 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

Citations1
Published2013
Admission routes2
Has abstractyes

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