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Record W4404818563 · doi:10.21833/ijaas.2024.11.023

Self-perception in early childhood: A comparative study of children with and without alexithymia

2024· article· en· W4404818563 on OpenAlexaboutno aff
Waleed Fathi Abdulkarim Abdulkader, Khalaf Alfadeed

Bibliographic record

VenueInternational Journal of ADVANCED AND APPLIED SCIENCES · 2024
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersNorthern Border University
KeywordsAlexithymiaPsychologyDevelopmental psychologyPerceptionClinical psychologyNeuroscience

Abstract

fetched live from OpenAlex

This study examines differences in self-perception between children with alexithymia and their typically developing peers (TDP). It explores specific aspects of self-perception and compares self-perception profiles while considering gender and education. A total of 122 children from kindergartens and schools participated in the study, including 81 typically developing children and 41 with alexithymia. The study used the Toronto Alexithymia Scale (TAS-20) and the Berkeley Puppet Interview (BPI) as assessment tools. The findings showed that alexithymia had a greater impact on self-perception than demographic factors like gender or education. Children with alexithymia had significantly lower self-perception in areas such as academic competence, motivation, social skills, and peer acceptance compared to their typically developing peers. The study highlights how alexithymia affects children's self-perception and calls for targeted interventions to support their well-being and social integration. It also suggests the need for further research into how educational environments influence children's self-perception.

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 score0.158

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)0.0000.000

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 head0.013
GPT teacher head0.316
Teacher spread0.302 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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