Bibliographic record
Abstract
This paper aims to extract and present some reasonal and practical guidelines which are helpful to use determination and its organization of underground passage shops in Korea. To do this several researches are executed as follows. Firstly, define the public nature in underground public pedestrian facilities and set out some use determination principles-openness, amenity and image. Secondly, selection of cases. Canada and Japan are very advanced countries in developing underground commercial spaces with wide and systematic. Corresponding with Korean situation and well-designed cases are selected in these two countries to survey and analyse. Thirdly, survey of cases. Through literature, internet, and site visiting investigations, the physical characteristics and the use related contents of cases are examined. Fourthly, analysis of cases. In order to obtain objective and concrete results, an analytical framework is established. And the cases of Canada and Japan were analysed by it. Lastly, suggestion of use and its organizational ratio. On the basis of the results of analysis, to apply to underground passage shops in Korea, the proper uses and their appropriate organizational ratio are suggested.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".