Pengaruh Intensitas Penggunaan Media Sosial pada Quarter Life Crisis pada Dewasa Awal
Bibliographic record
Abstract
Masa peralihan remaja ke dewasa awal dianggap krusial yang menandai pengembangan nilai, identitas, dan menghadapi tekanan sosial. Quarter life crisis, fenomena emosional pada dewasa awal, mencuat sebagai dampak perbandingan sosial intens melalui media sosial. Penelitian ini bertujuan mengeksplorasi bagaimana pengaruh intensitas penggunaan media sosial terhadap quarter life crisis pada dewasa awal di era digital. Penelitian ini menggunakan desain kuantitatif korelasional dengan subjek penelitian dewasa awal di Banjarmasin Utara (n=344). Data dikumpulkan melalui skala Quarter Life Crisis dan skala Intensitas Penggunaan Media Sosial. Hasil penelitian menunjukkan adanya pengaruh signifikan intensitas penggunaan media sosial terhadap quarter life crisis (p < 0,05), dengan R square sebesar 4,1%. Terdapat pula hubungan positif signifikan antara intensitas penggunaan media sosial dan peningkatan quarter life crisis (r = 0,203). Sebanyak 70% subjek berada pada kategori quarter life crisis sedang, 17% tinggi, dan 14% rendah. Temuan ini sejalan dengan tren penggunaan media sosial yang dominan, khususnya Instagram dan Whatsapp
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.002 |
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".