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Record W4380996330 · doi:10.29244/jfs.v8i1.42751

The Dynamics of Quarter Life Crisis and Coping Strategies for Final Year Undergraduate Students

2023· article· en· W4380996330 on OpenAlexaboutno aff
Ferani Amira Salsabila, Fransiska Harsyanthi, I Nyoman Mustika, Wulan Sari Putri Hidayat, Yulina Eva Riany

Bibliographic record

VenueJournal of Family Sciences · 2023
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsCoping (psychology)Quarter (Canadian coin)PsychologyPersonalityAnxietyDevelopmental psychologySocial psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Quarter-life crisis is a crisis that occurs in individuals aged 20 years and over. In this phase it becomes a difficult phase because of a significant change, previously the individual focused on spending school years but after that he was forced to take responsibility for himself. The purpose of this study is to see the dynamics of the quarter life crisis and coping strategies carried out by individuals who are carrying out lectures at IPB University. The purpose of this study is to look at the dynamics of quarter-life crises and coping strategies by individuals who are currently running lectures at the final year undergraduate. The respondents in the study were 11 final year undergraduate students who were carrying out lectures at the final level. Data were collected using semi-structured interviews and focus group discussions (FGD). The results showed that each individual experienced a different quarter-life crisis, with the most of problems faced are anxiety about the future. Each individual has a different coping strategy in dealing with the crisis they are experienced. The differences comes because of differences in responding problem, parenting style and personality.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.090
GPT teacher head0.408
Teacher spread0.318 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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