Dilema Transisi Usia: Dukungan Sosial dan Kecerdasan Emosional dalam Menghadapi Quarter Life Crisis
Bibliographic record
Abstract
Pada tahap perkembangan emerging adulthood, individu cenderung mengalami kerentanan terhadap quarter life crisis yang dipicu oleh dinamika pencarian jati diri, ketidakjelasan tujuan hidup, serta tekanan sosial yang menyertainya. Fokus utama studi ini adalah mengungkap kontribusi dukungan sosial dan kecerdasan emosional terhadap quarter life crisis pada emerging adulthood di Karawang. Studi ini menggunakan pendekatan kuantitatif dengan mengaplikasikan analisis regresi linear berganda guna menguji keterkaitan antara variabel yang menjadi fokus penelitian. Penelitian ini melibatkan 208 partisipan yang berada pada tahap emerging adulthood, berusia antara 18 hingga 25 tahun, dan bertempat tinggal di Karawang dengan teknik samplingyaitu convenience sampling dan rumus Cohen sebagai acuan jumlah minimal sampel. Instrumen penelitian yang diterapkan adalah Quarter Life Crisis Scale, Multidimensional Scale of Perceived Social Support dan Wong and Law Emotional Intelligence Scale. Hasil menunjukkan bahwa dukungan sosial dan kecerdasan emosional berpengaruh secara negatif signifikan terhadap quarter life crisis. Kedua variabel ini memiliki kontribusi sebesar 70,5% (dukungan sosial sebesar 40,1%, kecerdasan emosional sebesar 30,4%). Dukungan sosial yang memadai dan kecerdasan emosional yang tinggi berperan sebagai faktor pelindung signifikan yang membantu individu pada fase emerging adulthoodmenghadapi tekanan, mengelola emosi, serta mengurangi risiko quarter life crisis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".