HUBUNGAN ANTARA PLACE ATTACHMENT DENGAN PERILAKU PENGGUNA TAMAN ALUN-ALUN MALANG
Bibliographic record
Abstract
Terdapat dua kemungkinan yang akan terjadi antara manusia dan ruang, yaitu perubahan tingkah laku individu dalam menyesuaikan diri terhadap ruang atau perubahan ruang yang menyesuaikan dengan perilaku individu. Selain itu, keterikatan orang terhadap tempat menghasilkan tingkatan yang berbeda-beda. Setiap tingkatan individu dalam place attachment berhubungan terhadap kondisi fisik tempat tersebut. Sejak dibuka kembali setelah pandemi, Alun-Alun Malang menjadi salah satu taman kota dengan banyak pengunjung. Namun, masih sering dijumpai perilaku negatif pengguna Taman Alun-Alun Malang seperti membuang sampah sembarangan, merokok sembarangan, dll. Hal tersebut menyebabkan pengguna lain merasa kurang nyaman. Penelitian ini bertujuan mengetahui hubungan place attachment terhadap perilaku pengguna di Taman Alun-Alun Malang. Analisis yang digunakan diantaranya analisis Tingkat place attachment, analisis pola perilaku pengguna taman, dan analisis hubungan antara keduanya menggunakan tabulasi silang. Berdasarkan Hasil analisis tabulasi silang menghasilkan uji chi square dan pengukuran simetrik dengan hasil yakni Sig c2 (0,00) > 0.05 dan koefisien kontigensi sebesar 0,002 diidapatkan tidak adanya hubungan signifikan dengan tingkat keeratan sangat lemah antara kedua variabel.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 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".