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Record W4390340272 · doi:10.32505/inspira.v4i2.6894

The role of life meaningfulness on the quarter-life crisis of university students in Indonesia’s new capital

2023· article· en· W4390340272 on OpenAlexaboutno aff
Alfiesyahrianta Habibie, Yulia Sholichatun, Iin Tri Rahayu

Bibliographic record

VenueINSPIRA Indonesian Journal of Psychological Research · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Meaning (existential)Nonprobability samplingGovernment (linguistics)Scale (ratio)PsychologyCapital (architecture)Mental healthEconomic growthPolitical scienceSociologyDemographyGeographyEconomicsPopulationPsychiatry

Abstract

fetched live from OpenAlex

The policy of moving the national capital from Jakarta to East Kalimantan has caused pros and cons. The government is trying to equalize the economy. However, the younger generation, namely students, are still plagued by problems, namely quarter-life crisis, which has an impact on their mental health. This study examines the role of meaningfulness of life on the quarter-life crisis in students living in Indonesia’s new capital city. This research design is a simple linear regression with purposive sampling to 511 students (n = 511) who study or come from East Kalimantan. Data was collected through Robbinson’s Developmental Crisis Questionnaire (DCQ-12) Scale instrument and Stegger’s Meaning in Life Questionnaire scale students. The results showed a significant effect of meaning in life on quarter-life crisis in college students. However, there are differences in the influence of its aspects, namely the presence of meaning and searching for meaning aspects of a quarter-life crisis. Therefore, individuals find significant value in undergoing a crisis to rise to become new individuals who are meaningful in life.

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)0.009
metaresearch head score (Gemma)0.002
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 score0.071
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
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 head0.105
GPT teacher head0.412
Teacher spread0.307 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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