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Record W4388292885 · doi:10.15575/jpib.v6i2.24990

Religious Coping pada Penghafal Al-Qur’an dalam Menghadapi Fase Krisis Seperempat Baya

2023· article· en· W4388292885 on OpenAlexaboutno aff
Sri Lestari

Bibliographic record

VenueJurnal Psikologi Islam dan Budaya · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyQuarter (Canadian coin)Nonprobability samplingCoping (psychology)AnxietyMemorizationSocial psychologySociologyClinical psychologyPsychiatryPopulationCognitive psychologyHistory

Abstract

fetched live from OpenAlex

This research aims to obtain an overview of the strategies used by memorizers of the Quran in facing the quarter-life crisis phase. The quarter-life crisis is an emotional crisis related to doubt or anxiety about the future which is usually experienced by individuals aged 18-25 years. The research used qualitative phenomenological methods with thematic analysis. The participants were four students selected through purposive sampling. The results show that the area where the quarter-life crisis is most experienced is in the area of work. The causal factor is family life. The impacts can be negative, such as overthinking and anxiety; or positive, such as being able to learn lessons and be more aware of future challenges. Strategies for overcoming crises include preparing themselves by studying, reading the Quran, and believing that religion can help them face their life problems. The implications of this research emphasize that getting closer to Allah Swt. through the activity of reading and memorizing the Quran can strengthen individuals to face a quarter-life crisis.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
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
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.350
Teacher spread0.305 · 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 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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