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Record W1966935461 · doi:10.1080/00981380802589936

An Evaluation of Pediatric Asthma Educational Resources

2009· article· en· W1966935461 on OpenAlexaff
David Nicholas, Sharon Dell, Bonnie Fleming‐Carroll, Enid K. Selkirk

Bibliographic record

VenueSocial Work in Health Care · 2009
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsHospital for Sick ChildrenUniversity of Calgary
Fundersnot available
KeywordsOutreachAsthmaMedicineKnowledge translationEducational resourcesResource (disambiguation)Medical educationHealth careNursingFamily medicinePsychologyKnowledge managementPedagogyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate newly developed educational resources for children with asthma. Children with asthma, their parents, and pediatric health care professionals were invited to review age-appropriate asthma resources. Key findings revealed: (1) the perceived usefulness of these resources, particularly for creating discussion opportunities between children and their caregivers through implemented resource use; (2) the need for health education materials to balance goals of depth of information versus child enjoyment in order to increase effective knowledge transfer and application; and (3) a renewed call for future educational resources to be both relevant and interactive in their outreach and engagement of children, potentially involving mediums of advanced technology. Clinical experience and the literature note a current lack of pediatric asthma education materials. The positive findings of this review of novel educational materials in asthma address an important gap relative to pediatric practice, resource evaluation, and knowledge translation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.027
GPT teacher head0.388
Teacher spread0.361 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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