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Record W1631491069 · doi:10.5539/ies.v8n8p57

Disparity of Ego-Identity Components in Relation to Psychological Security of Adolescents

2015· article· en· W1631491069 on OpenAlexvenueno aff
Mosaad Abu Al Diyar, Ashraf Atta M. S. Salem

Bibliographic record

VenueInternational Education Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsId, ego and super-egoPsychologyIdentity (music)Social psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The current study aimed at investigating the Ego-identity components and the disparity of these components in relation to the psychological security of adolescents in Egypt. The sample of the study consisted of (400) male and female adolescents. The researchers used two main instruments; the psychological security scale and the Ego-identity scale. Findings of the study revealed that there is a positive relationship between Ego-identity achievement and psychological security. It was also revealed that there is a negative relationship between Ego-identity look and Ego-identity dispersion on the one hand and psychological security on the other. Results also showed that there are statistically significant differences in the mean scores between adolescents with high and low Ego-identity in their psychological security in favor of adolescents with high Ego-identity. In addition, it was shown that there are statistically significant differences between low and high Ego-identity dispersion in psychological security in favor of low Ego-identity dispersion. Finally, it was revealed that there are statistically significant differences between adolescents with high and low Ego-identity in their overall score of Ego-identity.

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 score0.014
Threshold uncertainty score0.369

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 head0.179
GPT teacher head0.490
Teacher spread0.310 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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