Bibliographic record
Abstract
This paper analyzes the present situations of the spaces beneath the elevated roadway in various countries, researches into the factors affecting the cultural regeneration of this kind of spaces, and provides the basis and reference to their cultural regeneration. The research scope covers the present situations of utilization of spaces beneath the elevated roadway in various countries since the 21st century and their influence on the regeneration of urban culture. The paper conducts literature search of the theoretical background, analyzes three cases from Canada, China and Italy through the Harris iconography, and closely examines the implementation of cultural regeneration strategy in the space beneath the elevated roadway from five aspects, including the use of cultural resources, cultural facilities, cultural activities, the development of cultural industry, and citizen participation. It finds that the full use of regional cultural resources can restore the vitality of idle land; and the construction of cultural facilities can create a variety of cultural and artistic atmosphere and cultural spaces with distinctive features, which will boost the development of various cultural and creative businesses and inject vitality into regional economy. It also unveils that the in-person participation in the whole design process by citizens is conducive to the improvement of their satisfaction towards this kind of spaces. Therefore, a study of those spaces beneath the elevated roadway from a cultural regeneration perspective is of great value. Hence a combination of the cultural regeneration process with the characteristics of the space beneath the elevated roadway will benefit urban life.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".