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Record W3107088429 · doi:10.5430/ijhe.v10n2p128

The Ego Depletion and Its Relationship with the Future Anxiety among the University Female Students

2020· article· en· W3107088429 on OpenAlexvenueno aff
Bassam H. Alharbi, Khaled Ahmed Abdel -Al Ibrahim, Jaafar Al-Rabaah, Salama Al- mehsin

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyId, ego and super-egoEgo depletionPsychologySample (material)Clinical psychologyScale (ratio)Descriptive researchSocial psychologyPsychiatrySelf-controlSociologyGeographyCartography

Abstract

fetched live from OpenAlex

The study aims to identify the degree of ego depletion and future anxiety and the relationship between both of them among the university female students. Researchers relied on the descriptive correlation method and prepared an ego depletion and future anxiety scale, and implement it on the study sample that consists of (560) female students at the Princess Alia University College after ensuring the appropriateness of their Seikometric characteristics. The study results found a statistically significant positive correlation between the ego depletion and future anxiety among the study sample, and the degree of ego depletion and future anxiety came medium. Results also showed that ego depletion acts as a good predictor of the future anxiety. In light of these results the study recommended the school administrations to provide students with the study environment that challenges their capabilities and provide them with the psychological safety to deal successfully with the future anxiety.

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 score0.132
Threshold uncertainty score0.253

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 science0.0010.000
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 head0.038
GPT teacher head0.375
Teacher spread0.338 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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