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Record W2003190588 · doi:10.1177/08830738050200110801

Where Do Families of Children With Epilepsy Obtain Their Information?

2005· article· en· W2003190588 on OpenAlexaff
Cathy Lu, Elaine Wirrell, Marlene Blackman

Bibliographic record

VenueJournal of Child Neurology · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsEpilepsyFamily medicineSocioeconomic statusThe InternetMedicineFamily memberNeurologyMedical informationPsychiatryPsychologyPopulation

Abstract

fetched live from OpenAlex

A structured interview of 84 families of children with epilepsy followed through the neurology clinic of a tertiary care children's hospital was conducted to assess the epilepsy-specific information sources accessed and the perceived accuracy of these sources. Families accessed a mean of 3.5 sources from or specifically recommended by the clinic or family doctor and 4.1 sources outside these areas. Families of children with intractable epilepsy and higher-educated parents, but not those of higher socioeconomic status, consulted more extensively. The perceived accuracy of information rated highest for clinic-recommended Internet sites (100%), the clinic nurse (97%), and the neurologist (93%). Sources external to the clinic had variable ratings; those with the greatest perceived accuracy included other Internet sites or family members within the medical profession (85% for both) and lay organizations (84%). Friends within the medical profession, other families, and complementary health care providers also ranked highly. Recommendation of sites and books by epilepsy clinics is more helpful than general handouts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.012
GPT teacher head0.335
Teacher spread0.322 · 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

Citations47
Published2005
Admission routes1
Has abstractyes

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