Bibliographic record
Abstract
The Montreal Indoor City(MIC) which has spread over downtown of Montreal is too large and arbitrary in shape to get a clear understanding. This paper aims to have a comprehensive recognition of the MIC by the multilateral studies about it. As a result of the research, several findings are drawn as follows: First, the MIC has accomplished a high standard in environmental qualities -i.e. natural light, sense of space, variety, and image- through developing overground and underground unitedly. Second, convenience, pleasure, and publicity have been the organizational concepts of the MIC and on the basis of those concepts the MIC has been embodied by the functions of movement, shopping, and staying. Third, the MIC has grew through the several developmental phases, they are opening phase(1960s), prosperity phase(1970s), intensification phase(1980s) and settlement phase(1990s～). Fourth, there are some problems of the MIC. ①No use of Montreal's inclined topology ②Making a deep underground space due to the technical problems of subway train ③Sacrificing of outdoor pedestrian life and an excessive commercial property of indoor space. Fifth, it will be a critical paradigm shift for both Montreal and Korean cities to exploit the urban underground space for the purpose of the integration and rehabilitation of a future city environment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".