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Record W4409116301 · doi:10.63422/mk.v1i2.18

Peran Pendidikan Kristen Di Gereja Dalam Menghadapi Quarter Life Crisis Di Kalangan Anak Muda

2024· article· en· W4409116301 on OpenAlexaboutno aff
Hizkia Elfran Mawey, Anastasia Gabrielle Ondang

Bibliographic record

VenueMurid Kristus Jurnal Teologi dan Pendidikan Kristen · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Christian Leadership and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesQuarter (Canadian coin)ArtTheologyPhilosophyHistory

Abstract

fetched live from OpenAlex

This research explores the role of Christian education in the church in helping young people deal with the Quarter Life Crisis-a phenomenon characterised by confusion, anxiety, and uncertainty regarding identity and life purpose in their 20s to early 30s. Using a qualitative approach, this article discusses how teaching spiritual values, church community, and social services can support young people's emotional and moral well-being. Through analyses of biblical texts and empirical studies, this research shows that Christian education in the church provides a foundation for young people to find meaning in life and overcome the challenges of the Quarter Life Crisis. Abstrak Penelitian ini mengeksplorasi peran pendidikan Kristen di gereja dalam membantu anak muda menghadapi Quarter Life Crisis—fenomena yang ditandai kebingungan, kecemasan, dan ketidakpastian terkait identitas serta tujuan hidup di usia 20-an hingga awal 30-an. Dengan pendekatan kualitatif, artikel ini membahas bagaimana pengajaran nilai spiritual, komunitas gereja, dan pelayanan sosial dapat mendukung emosi dan moral anak muda. Melalui analisis teks Alkitab dan studi empiris, penelitian ini menunjukkan bahwa pendidikan Kristen di gereja memberikan landasan bagi anak muda untuk menemukan makna hidup dan mengatasi tantangan 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

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 studies0.0050.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.041
GPT teacher head0.254
Teacher spread0.212 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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