Indicators for Sustainable Redevelopment of Cultural Landscapes — Huangpu Veterans Quarter in Taiwan
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
Overdeveloped land, misused resources, limited and fast development landscape in urban Taiwan, are problems and challenges government continuously facing and avoiding; Re-utilizing underdeveloped and limited landscape in Taiwan is an important subject. Taiwan Kaohsiung obtains and preserves the largest Military Dependents’ Village (MDV) landscape in Taiwan; an important, unique, and valuable historic cultural landscape affiliate historical, military and ethnic group living culture village. This study reviewed sustainable development and village preserve literature, and propose re-development structural framework of MDV through two-stage experts’ questionnaire survey. The first stage utilized the Fuzzy Delphi Method, which focuses on impact factors, and the second, the AHP Method, deals with performance factors. The results indicate that the key impacts on the cultural landscape sustainability redevelopment strategies for Huangpu MDV were its cultural value, historic site, and maintenance management.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it