Self Compassion dan Dukungan Sosial: Kunci Mengatasi Quarter Life Crisis Gen Z
Bibliographic record
Abstract
Abstract This study was conducted to explore the relationship between self compassion and social support and the quarter life crisis for Gen Z social media users. The application of correlational quantitative methods was used in this study involving 183 participants aged 20–27 years. Research data was obtained through distributing Likert scale-based questionnaires which included three main variables: self compassion, social support, and quarter life crisis. Research findings indicate a significant negative relationship between self compassion and social support and quarter life crisis. Self compassion encourages individuals to be more accepting of life's challenges, while social support provides a sense of emotional security and reduces psychological stress. The variables self compassion and social support simultaneously play an important role in supporting Generation Z in facing changes towards adulthood. Keywords: Generation Z; quarter life crisis; self compassion; social media; social support Abstrak Studi ini dilakukan untuk mengeksplorasi keterkaitan antara self compassion dan dukungan sosial dengan quarter life crisis bagi pengguna media sosial Gen Z. Penerapan metode kuantitatif korelasional digunakan dalam studi ini dengan melibatkan 183 partisipan berusia 20–27 tahun. Data penelitian diperoleh melalui penyebaran kuesioner berbasis skala Likert yang mencakup tiga variabel utama: self compassion, dukungan sosial, dan quarter life crisis. Temuan penelitian mengindikasikan hubungan negatif yang signifikan antara self compassion dan dukungan sosial dengan quarter life crisis. Self compassion mendorong individu untuk lebih menerima tantangan hidup, sementara dukungan sosial memberikan rasa aman emosional dan mengurangi stres psikologis. Variabel self compassion dan dukungan sosial secara bersamaan memegang peranan penting dalam mendukung Generasi Z menghadapi perubahan menuju kedewasaan. Kata kunci: dukungan sosial; Generasi Z; media sosial; quarter life crisis; self compassion
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".