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Record W2101823122 · doi:10.1177/1359104511415495

Listening to parents: The challenges of parenting kindergarten-aged children who are anxious

2011· article· en· W2101823122 on OpenAlexafffund
Diane Hiebert‐Murphy, Elizabeth A. Williams, Rosemary S. L. Mills, John R. Walker, Steven Feldgaier, Michelle Warren, Wendy Freeman, M. McIntyre, Brian J. Cox

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2011
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcMaster University Medical CentreUniversity of WinnipegUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsAnxietyPsychologyDevelopmental psychologyStressorActive listeningIntervention (counseling)Clinical psychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

The purpose of this study was to increase understanding of the experience of parenting kindergarten-aged children who are anxious. Twenty-three in-depth interviews were conducted with parents of kindergarten-aged children who expressed interest in a parent-focused early intervention program for child anxiety offered in a local elementary school. Key concerns of the parents included their children's separation anxiety, social anxiety, and oppositional behaviour. The child's anxiety was identified as a stressor on the child, the parent, and the family. Parents utilized a range of parenting responses although they tended to be reactive and did not have a consistent strategy for managing the anxiety. A salient parenting struggle was whether or not to push the child to face challenging situations although there were few descriptions of overprotection or overcontrol. The findings suggest greater attention be given to the strengths of parents of children who are anxious and the ways in which parents may be a positive factor in mitigating the effects of child anxiety. Implications for intervention are discussed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.350
Teacher spread0.283 · 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

Citations24
Published2011
Admission routes2
Has abstractyes

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