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Record W4415544420 · doi:10.1177/30502225251377847

From Home to Classroom: Exploring Caregiver Perspectives on Preschool Readiness and Resilience in Buea, Cameroon

2025· article· en· W4415544420 on OpenAlexaff
Ijang Bih Ngyah-Etchutambe, Linda S. Pagani

Bibliographic record

VenueSage Open Pediatrics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsThematic analysisPsychological resiliencePerceptionResilience (materials science)Snowball samplingCognitionQualitative researchMental healthSample (material)

Abstract

fetched live from OpenAlex

School readiness ensures a successful home to school transition. However, not much is known about physical readiness. This study explores parental perceptions of physical school readiness and resilience in preschool children. Qualitative data (n = 20) were collected through interviews from the sample drawn purposively using snowball in Cameroon. Parents and teachers of 3-to-5-year-old children were asked to provide perceptions of child physical readiness and their implications on resilience. Results from thematic and content analysis revealed that physically ready children exhibited autonomous gross and fine motor abilities. Caregivers described mental resilience as persistence in the face of difficulty. They reported concern for bullying when their children showed lack of physical readiness, self-confidence, coordination, and cognitive skills. Other conditions such as stunted growth and being overly-pampered by caregivers were presented as diminishing resilience. Providing an enabling yet safe environment that facilitates optimal motor skills is viewed as enhancing school readiness and resilience.

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 score0.039
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.021
GPT teacher head0.304
Teacher spread0.284 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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