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Record W4401498402 · doi:10.21070/ups.5770

Relationship Between Emotional Intelligence and Quarter Life Crisis in Female Students at the Muhammadiyah University of Sidoarjo

2024· preprint· en· W4401498402 on OpenAlexaboutno aff
Nadya Alisarani, Widyastuti Widyastuti

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyEmotional intelligenceSocial psychologyHistory

Abstract

fetched live from OpenAlex

Students usually belong to early adulthood in the age range of twenty to thirty years, and this is a searching phase full of problems, stress, changing values, and adjusting to their new lifestyle. The reason for this study was to decide if there is a connection between the capacity to understand people on a deeper level and quarter life emergency in UMSIDA female understudies. A correlational quantitative approach is used in this study. The sample of this study was 200 female students of Muhammadiyah University of Sidoarjo using quota sampling. The instrument used is emotional intelligence scale with a reliability value of 0.729 and quarter life crisis with a reliability value of 0.830. Pearson product moment correlation with JASP 16.0 for Windows was used for the analysis. The findings demonstrated a significant negative correlation between quarter life crisis and emotional intelligence (rho=-0.68, p<.001).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.090
GPT teacher head0.382
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), 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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