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Scores on the Nursing Child Assessment Teaching Scale for Father–Toddler Dyads

2001· article· en· W2111812704 on OpenAlexaffabout
Margaret J. Harrison, Joyce Magill‐Evans, Delmarie Sadoway

Bibliographic record

VenuePublic Health Nursing · 2001
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCapital District Health AuthorityUniversity of Alberta
FundersNational Center for Advancing Translational Sciences
KeywordsToddlerDevelopmental psychologyPsychologyMedicineClinical psychology

Abstract

fetched live from OpenAlex

Fathers of 49 Canadian children (ages 13 to 24 months) were observed interacting with their child at home using the Nursing Child Assessment Teaching Scale (NCATS). Consensus ratings from two observers were used in the analysis. Compared with the NCATS reference data for 164 mothers of similar ethnicity and marital status with similar-aged children, mothers were more responsive than fathers in the interactions. Mothers had significantly higher scores on the overall Total NCATS score, on the Total Parent score, and on the Parent Contingency score than the fathers. In contrast, children were more responsive to fathers than mothers. Children interacting with their fathers had significantly higher Total Child scores and higher Child Contingency scores than those interacting with their mothers. Maternal and paternal age and education were not correlated to scores on the NCATS. Implications for practitioners are discussed and the results are compared to a study of mothers and fathers interacting with children ages 2 to 12 months old in which the observations were measured by the NCATS. Results suggest that NCATS cutoff scores used to identify mothers in need of intervention should be used with caution for father--toddler interactions.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.170
GPT teacher head0.491
Teacher spread0.321 · 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 designOther design
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
Published2001
Admission routes2
Has abstractyes

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