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Record W4401578915 · doi:10.21070/ups.5942

Relationship Between Social Support and Self-Efficacy With Quarter Life Crisis in Female Students at Adulthood

2024· preprint· en· W4401578915 on OpenAlexaboutno aff
Yasmin Tyasty Sandaputri, Lely Ika Mariyati

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologySocial supportScale (ratio)PhenomenonSelf-efficacyPopulationDevelopmental psychologySocial psychologyDemographySociology

Abstract

fetched live from OpenAlex

The phenomenon of Quarter Life Crisis among female students in Sidoarjo is most dominantly indicated by comparing oneself to others, facing increasingly challenging problems, and experiencing unstable emotions. The aim of this study is to determine the relationship between social support and self-efficacy with Quarter Life Crisis. This study employs a quantitative correlational research design. The population consists of active female students of adult age. The respondents in this study number 334 students, collected using quota sampling. The research instruments used are the Social Support Scale, Self-Efficacy Scale, and Quarter Life Crisis Scale. The data analysis method used is multiple linear regression analysis. The results of this study show a significant negative relationship between social support and self-efficacy with Quarter Life Crisis, with a p-value of <.001. The implications of this study suggest that female students should receive social support and education on self-efficacy to minimize Quarter Life Crisis

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)0.001
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 score0.082
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.413
Teacher spread0.345 · 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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