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Record W2158150332 · doi:10.5014/ajot.57.4.463

Mothers’ and Fathers’ Interactions With Children With Motor Delays

2003· article· en· W2158150332 on OpenAlexaff
Eftichia Ganadaki, Joyce Magill‐Evans

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2003
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIntervention (counseling)PsychologyDevelopmental psychologyMotor skillStyle (visual arts)CognitionClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: In early intervention programs, parents are often asked to teach their child new skills. As fathers are increasingly involved in intervention, clinicians need more information on fathers' unique interactive style. This pilot study compared mothers' and fathers' parent-child interactions during a teaching episode to identify similarities and differences in order to better understand parents' strengths. METHODS: The Nursing Child Assessment Teaching Scale was used to observe 10 mothers and 10 fathers interacting with their 10- to 28-month-old children in their homes. The children were receiving early intervention for a motor delay. The Caregiver Scores (parent's contribution to the interaction) of mothers and others were compared using paired t tests. RESULTS: Mothers had more optimal interactions as indicated by significantly higher Caregiver scores than fathers, t (9) = 3.83, p = .004. The subscales with statistically significant differences were Caregiver Contingency and Cognitive Growth Fostering. Children's scores when they interacted with their mothers or fathers did not differ. CONCLUSION: When observing fathers teaching their child new skills, therapists should remember that fathers of children with motor delays (and typically developing children) may use a more task-oriented communication style with less consideration of the child's actions than do mothers.

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 categoriesInsufficient payload (model declined to judge)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.383
Teacher spread0.325 · 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 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

Citations7
Published2003
Admission routes1
Has abstractyes

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