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Record W4403472734 · doi:10.33650/al-tanzim.v8i3.9119

Strategic Management of Hybrid Counseling: A Novel Approach to Addressing Quarter-Life Crisis Among University Students in Indonesia

2024· article· en· W4403472734 on OpenAlexaboutno aff
Muhammad Walid, Aninda Tri Safinatun Najah, Naila Kholisotul Ula, Nadya Salsabilla Turrohmah

Bibliographic record

VenueAL-TANZIM JURNAL MANAJEMEN PENDIDIKAN ISLAM · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Socioeconomic and Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Crisis managementPsychologyPolitical scienceMedical educationSociologyManagementMedicineEconomicsGeography

Abstract

fetched live from OpenAlex

This study aims to analyze the Hibryd Counseling Service (Islamic counselling) strategy to effectively prevent Quarter Life Crisis and prepare students who become agents of change for a better direction in college. Using interview, observation, and documentation methods, this study seeks to obtain data on the phenomenon of quarter-life crisis and the new approach. The data sources include critical stakeholders in the guidance and counselling laboratory. Data analysis was carried out through data transcription, coding, and categorization. The study results indicate that Islamic counselling is valuable in guiding individuals to overcome quarter-life crises by aligning psychological and spiritual aspects. Islamic counselling significantly contributes to helping individuals overcome quarter-life crises with a holistic approach involving spiritual, psychological, and social factors. Integrating Islamic values in counselling forms a solid framework to support young individuals facing life challenges. These findings provide important insights related to the effectiveness of the Islamic counselling approach in overcoming quarter-life crises through the integration of spiritual, psychological, and social values.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.254
Teacher spread0.218 · 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.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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Same venueAL-TANZIM JURNAL MANAJEMEN PENDIDIKAN ISLAMSame topicGlobal Socioeconomic and Political DynamicsFrench-language works237,207