Hubungan Regulasi diri dengan Prokrastinasi Akademik Mahasiswa Magister yang bekerja pada Perguruan Tinggi Surabaya
Classification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian meta-analisis oleh Steel (2007) di Universitas Calgary bahwa 80% hingga 95% mahasiswa melakukan prokrastinasi, terutama saat melakukan tugas kuliah. Pada penelitian Klassen, Krawchuk dan Rajani (2008) di universitas Kanada juga menghasilkan data bahwa prokrastinasi pada siswa terkait dengan tingkat regulasi diri yang lebih rendah.Dalam penelitian ini, ditemukan bahwa siswa dengan kemampuan untuk mengatur diri yang rendah memiliki IPK yang lebih rendah,dan lebih banyak menunda..Tujuan penelitian ini untuk mengetahui mengenai hubungan prokrastinasi akademik dengan regulasi diri mahasiswa. metode penelitian kuantitatif.Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode survey. Hasil yang didapatkan menunjukkan nilai signifikansi 0,000 (p<0,05).Hasil tersebut menunjukkan adanya korelasi negatif antara prokrastinasi akademik dengan regulasi diri dan menunjukkan hubungan yang signifikan.Sehingga ada hubungan yang signifikan prokrastinasi akademik dengan regulasi diri mahasiswa magister yang bekerja.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it