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
The purpose of this paper is to find out the investigation of overseas case in Street Furnitures of Public Design. Thus this research regions select among the waterfront cities; Tokyo/Yokohama(Japan), Nies/Cannes(France), Shanghai(China), Vancouver(Canada), in addition to the city of art and romance; Paris. Above all, it is necessary to study concept of public design and definition of street furnitures. The survey data collected from forenamed cities and the items of street furnitures are various installments such as kiosk, bench, bollard, litter-bin, sign board, toilet, bus/taxi station, fence, shelter, lighting column, fountain, telephone-booth, clock-tower, automaton, bicycle stand, playing object etc. In this study street spaces are analysed that is related to regional surroundings and pedestrian's culture. Consequently, design trend of street furniture in foreign case analysis are going into thoroughly modern image as well as checking of form, color, material and maintenance system. According to the above findings, this paper will provide basic data for establishing of the street furniture and improving of public design to the regional citizen, local government officials and regional experts.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.025 |
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