COMPOSING MODEL OF DESIGN CRITERIA BASED ON REVEALED PREFERENCE STUDY, BOARDING HOUSES AS DESIGN CASES
Bibliographic record
Abstract
Covid 19 pandemic is a global phenomenon which threatens the safety of people around the world. This phenomenon has become a momentum to reflect back on development in Indonesia. On the other side, the development of boarding houses is going to be massive and mushroomed, because of phenomena of big cities such as work and study. Preference is proper study for revealing tendencies innew normal era. The purpose of this research is to generate design criteria for boarding houses inanew normal era. Method used is revealed preference with hedonic pricing analysis approach adjustedby literature study. The results of programming shows there are eight aspects that should be concernedcarefully; facility, convenience, accessibility, health, sacety and security, cost, service, and quality of visual. These aspects are implied into eight scales; site, public realm, skin, entry, common, unit elements, and mechanical. These scales have 64 factors of designs consist of many principles Keywords : Pandemi Covid 19, Boarding Houses, New Normal.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".