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Record W1982840417 · doi:10.1080/07370016.2013.806716

Administration of Over-the-Counter Medication to Children at Home—A Survey of Parents from Community Health Centers

2013· article· en· W1982840417 on OpenAlexaff
Colleen Anderson, Paula Rolfe, Andrea Brennan-Hunter

Bibliographic record

VenueJournal of Community Health Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineDoseAntipyreticFamily medicineAcetaminophenAnalgesicSick childMedical prescriptionPediatricsPsychiatryNursingAnesthesia

Abstract

fetched live from OpenAlex

Parents (n = 135) were surveyed in relation to administering antipyretic/analgesic medications to their children (2 months-6 years) at home. Parents usually chose acetaminophen, calculated dosages based on weight but did not always know the child's weight, administered medications with a dropper, and reported having a sick child was moderately stressful. Many children were medicated for pain and/or fever during the week prior to immunization and many weighed more than the age/weight recommended dosages on the label. Community health nurses can facilitate safe administration of medications by integrating knowledge of parents' pain and fever management practices into discussions and anticipatory planning during clinic visits.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.049
GPT teacher head0.386
Teacher spread0.337 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2013
Admission routes1
Has abstractyes

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