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Record W7042836305

QUARTER LIFE CRISIS DITINJAU DARI KESEPIAN DAN EFIKASI DIRI PADA MAHASISWA TINGKAT AKHIR

2023· dissertation· en· W7042836305 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library UIN Sunan Kalijaga (Sunan Kalijaga State Islamic University) · 2023
Typedissertation
Languageen
FieldMathematics
TopicMeromorphic and Entire Functions
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessQuarter (Canadian coin)Test (biology)Regression analysisScale (ratio)Value (mathematics)AccidentalSurvey researchVariables
DOInot available

Abstract

fetched live from OpenAlex

The transition from adolescence to early adulthood creates a different response for each individual because of the various demands and problems that occur during this period or what is called emerging adulthood. This study aims to determine the relationship between loneliness, self-efficacy and quarter life crisis in final year of undergraduate students in Yogyakarta. The method in this research is correlational quantitative. Subjects in this study amounted to 168 students obtained by technique accidental sampling. In this study, three measurement tools were used, namely the Loneliness Scale, the Self-efficacy Scale and the Quarter Life Crisis Scale. Data analysis using multiple linear regression analysis methods. The hypothesis test shows that there is a simultaneous significant relationship between loneliness, self-efficacy and quarter life crisis. This is indicated by the significance value of p=0.000 (p<0.05) so that H1 in this study is accepted. Meanwhile, the effective contribution of loneliness and self-efficacy variables was 32.6%. This research can present the condition of final year of undergraduate students who experience a quarter life crisis so that the result of this study can be used as an evaluation both to universities and students themselves.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.221
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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