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Quarter Life Crisis: Exploring the Challenges and Coping Strategies of Young Adults in Their Twenties

2023· article· en· W4387695695 on OpenAlexaboutno aff
Rahmi Agustiarini

Bibliographic record

VenueSyntax Literate Jurnal Ilmiah Indonesia · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Coping (psychology)FeelingAnxietyPsychologyConfusionLife satisfactionQualitative researchSocial psychologyClinical psychologyPsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

The twenties of a person's life often present unique and complex challenges, often known as the Quarter Life Crisis. Significant changes in social, economic, and personal demands can create uncertainty, anxiety, and feelings of crisis in young adults. The purpose of this study is to explore the challenges and coping strategies of young adults in their twenties who are experiencing a quarter-life crisis. This study used a qualitative research method with a case study approach. Data collection techniques were carried out by literature study and interviews with 5 young adults in their twenties who experienced a Quarter Life Crisis. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation, and conclusion drawing. The results showed that the challenges faced by young adults in their twenties included uncertainty about the future, confusion, anxiety, and pressure to achieve success. The coping strategies used to overcome this are by seeking support from others, doing activities that are liked, and seeking professional help.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.341
Teacher spread0.250 · 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 designQualitative
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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