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Record W2025164093 · doi:10.1177/1359104507088342

South Asian Parents' Constructions of Praising Their Children

2008· article· en· W2025164093 on OpenAlexaff
Nupur Dhingra Paiva

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2008
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsPraiseEthnic groupPsychologyMulticulturalismDevelopmental psychologyDysfunctional familyQualitative researchThematic analysisSocial psychologySociologyPedagogyClinical psychologySocial science

Abstract

fetched live from OpenAlex

While praise is considered an important element in moulding children's behaviour and is central to parent-training advice in the UK today, the literature from nonwestern cultures suggests that some communities do not view praise as positive. There is currently a dearth of systematic knowledge about how minority ethnic parents in Britain view praise. This qualitative study used thematic analysis to explore the childrearing beliefs of immigrant parents from South Asian backgrounds living in inner-city London, with a focus on their constructions of praising their preschool children. The emerging themes suggest that participants see young children's behaviour as instinctual and view instruction as the main parenting strategy required. Demonstrations of physical warmth and tangible rewards were widely used. While verbal praise was used to encourage compliance, these parents advised caution, saying that praising children risked the development of psychological attributes that were culturally judged as dysfunctional. There was relatively little emphasis on the individual child's ability but more on its effect on others in the hierarchy. These themes have some fundamental implications for the practice of clinical psychology in multicultural communities.

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 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 score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.043
GPT teacher head0.350
Teacher spread0.306 · 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

Citations29
Published2008
Admission routes1
Has abstractyes

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