Preferensi Pengunjung Mahasiswa Generasi Z Masa Kini Terhadap Atribut Learning Space di Perpustakaan Akademik
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
<p class="Abstract">Most of the current university students are born in Z Generations (1995-2010). Z Generations are unique, especially on their behavior and determining what they like. It included when they want to study around the area of their university. One of the most common study on universities is the academic library. The current academics library are also demanded to be able on adapting and presenting what Z generations want. The ideal academics library can accommodate the learning activities of this generation. This study aims to find the preferences of Z Generations in determining any learning space which come from the library. It also determining the frequency, duration, favorite floor and with whom visitor usually come to library. This preference refers to the theory of learning space attribute. The research method uses quantitative methods by using the survey and questionnaire of 185 students at the ITB, ITS and Unpad. The results showed that Z generations students agreed with the order of preference theory in learning space attribute. This means the academic librarys on university recently should refer to the theory of learning space attribute, so the library can increase the level of the visitors.<em></em></p>
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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