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Tinjauan Sistematis: Gambaran Quarter-life Crisis, Dampak, serta Faktor-faktor yang Memengaruhinya

2025· article· id· W4411633759 on OpenAlexaboutno aff
Kenny Valentino

Bibliographic record

VenueBuletin Psikologi · 2025
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesQuarter (Canadian coin)MedicineArtGeography

Abstract

fetched live from OpenAlex

Quarter-life crisis (QLC) bertindak sebagai faktor risiko tambahan bagi emerging adult yang rentan mengalami permasalahan psikologis. Penelitian seputar QLC masih relatif baru, dan tinjauan sistematis ini bertujuan untuk membahas perkembangan penelitian QLC. Melalui sintesis artikel terpilih (N = 7), ditemukan bahwa jalur dari QLC terdiri dari lima fase yang mungkin dilalui, namun urutannya akan amat bergantung pada situasi dan kondisi yang dimiliki. QLC memiliki dampak negatif berupa pengalaman emosional negatif, khususnya terkait indikasi depresi yang tinggi dan rendahnya tingkat kesejahteraan. Dampak negatif tersebut terjadi pada kelima fase QLC, dan mengalami puncaknya pada fase yang disebut locked-out. Tinjauan ini juga menemukan bahwa budaya berperan dalam menentukan ekspektasi atau tuntutan sosial seperti apa yang menjadi sumber tekanan dari QLC. Penelitian ke depannya dapat mempertimbangkan untuk meneliti lebih lanjut seputar dampak dari tidak terselesaikannya QLC pada tahapan perkembangan berikutnya, faktor-faktor protektif, serta pengembangan alat ukur QLC.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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