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Record W2892197897 · doi:10.3389/fpsyg.2018.01786

Jamaican Mothers’ Perceptions of Children’s Strategies for Resisting Parental Rules and Requests

2018· article· en· W2892197897 on OpenAlexaff
Taniesha Burke, Leon Kuczynski

Bibliographic record

VenueFrontiers in Psychology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPsychologyAgency (philosophy)AssertivenessAutonomyDevelopmental psychologySocializationChild disciplinePerceptionNegotiationSocial psychologyCompliance (psychology)ConstructiveResistance (ecology)Power (physics)Poison controlHuman factors and ergonomicsMedicine

Abstract

fetched live from OpenAlex

Research on Jamaican socialization of children has primarily focused on parental discipline practices. Little is known about children's responses to parental attempts to control their behavior. The present study investigated mothers' perceptions of children's strategies for resisting their rules and requests. Thirty mothers living in Kingston and St. Andrew, Jamaica, participated in a 1- to 1.5-h semi-structured, open-ended interview regarding their 8- to 12-year-old children. Mothers reported that their children's resistance strategies included assertive refusal, arguing, ignoring/avoiding, attitude, and negotiation. Most mothers disapproved of their children's actions and responded with power-assertive strategies such as physical punishment, psychological control, forced compliance, and threats. Few mothers responded with autonomy support strategies including accommodation and reasoning. The findings provided insight into the ways Jamaican children use their agency to protect their autonomy despite their mothers' greater power, and the relational nature of children's influence on their mothers' behaviors and reactions. More research is needed to expand our knowledge of child agency in Afro-Caribbean families and the various ways that parents may support their growing autonomy that is socially constructive.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.371

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.388
Teacher spread0.351 · 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.

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

Citations12
Published2018
Admission routes1
Has abstractyes

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