DUKUNGAN SOSIAL DAN QUARTER LIFE CRISIS PADA FRESH GRADUATE
Bibliographic record
Abstract
Ketatnya persaingan yang semakin tinggi membuat para fresh graduate merasa khawatir akan masa depannya. Keadaan ini membuat generasi milenial merasa insecure, kecewa, kesepian sampai depresi yang akhirnya menyebabkan terjadinya quarter life crisis. Individu yang ingin mencapai kesejahteraan psikologis sangat memerlukan hubungan yang positif dengan orang lain dan lingkungan yang baik agar dukungan sosial di dapatkan secara maksimal. Peneliti menggunakan teknik convinience sampling dengan total partisipan sebanyak 136. Penelitian ini menggunakan metode analisis data korelasi product moment dari Pearson dengan tujuan untuk menentukan hubungan dukungan sosial dan quarter life crisis. Hasil penelitian menunjukkan adanya korelasi sebesar r = -0.189 dengan nilai signifikasi = 0,014 (p > 0.05) yang berarti terdapat hubungan antara dukungan sosial dan quarter life crisis. Hal tersebut berarti bahwa dukungan sosial memiliki pengaruh terhadap quarter life crisis yang dialami oleh fresh graduate dari Universitas Kristen Satya Wacana yang mana para partisipan termasuk dalam kategori dukungan sosial yang tinggi. Hal tersebut menunjukkan bahwa partisipan sudah memenuhi salah satu faktor eksternal yang mempengaruhi quarter life crisis yaitu adanya dukungan sosial.
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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 | 0.004 |
| 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 | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".