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Record W4385702336 · doi:10.59027/jcic.v1i1.61

MENEMUKENALI BERBAGAI ALTERNATIF INTERVENSI DALAM MENGHADAPI QUARTER LIFE CRISIS: SEBUAH KAJIAN LITERATUR [DISCOVERING VARIOUS ALTERNATIVE INTERVENTION TOWARDS QUARTER LIFE CRISIS: A LITERATURE STUDY]

2021· article· en· W4385702336 on OpenAlexaboutno aff
Muhammad Syifa’ussurur, Nurul Fadzilatul Husna, M Mustaqim, Lukman Fahmi

Bibliographic record

VenueJournal of Contemporary Islamic Counselling · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PhenomenonIntervention (counseling)Psychological interventionPsychologyCrisis interventionLimitingEarly adulthoodOrder (exchange)Political scienceSocial psychologyDevelopmental psychologyHistoryYoung adultPsychiatryEconomicsEngineering

Abstract

fetched live from OpenAlex

Early adulthood is a period of transition from adolescence to adulthood which becomes a complex transition. There are many stressors that lead to various difficulties, so that individuals feel trapped and lost their way in adulthood. This condition is known as the quarter life crisis, which is a common phenomenon that occurs at the age of 20-30 years. This phenomenon is influenced by various factors, both internal and external factors. The purpose of this paper is to examine various alternative interventions that can be carried out in order to deal with a quarter life crisis. The strategies that can be carried out as an intervention to prevent a quarter life crisis are to stop comparing yourself with others and get to know yourself better, turning doubts into actions, finding people who can become support systems, limiting the use of social media, learning to love yourself, and solution-focus therapy.

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)0.001
metaresearch head score (Gemma)0.001
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: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.351
Teacher spread0.315 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venueJournal of Contemporary Islamic CounsellingSame topicEducational Methods and ImpactsFrench-language works237,207