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Record W6922424877 · doi:10.11575/prism/1459

Interface between buildings and the street: how building qualities and street qualities affect each other

2006· other· en· W6922424877 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2006
Typeother
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101DysgeusiaProteogenomicsDiafiltrationLiquation

Abstract

fetched live from OpenAlex

This Master's Degree Project (MDP) addresses the concept of "interface" in urban design practice, as it contributes to the design of urban streets and buildings, and to the quality of design in the public realm. In this MOP, the research focuses on the interface between buildings and the street. The relative theories of the interface space, including the area of the interface spaces, components and structures of the space and the functions of the interface, are discussed. All research work considers both building and street together, and combines urban design and architectural design. Two urban streets in different cultural contexts are critically analyzed to demonstrate how the interface of buildings and the street can affect the quality of the public realm. The two streets analyzed are 17th Avenue SW, Calgary, Alberta, Canada, and Tsuancheng Road, Jinan, Shandong, P. R. China. Through detailed analysis, the relative design language about interface patterns is developed to guide concept design options, and evaluations and recommendations are made. This MDP deals with issues in urban design practice, especially with buildings and urban streets. The concept of interface also contributes to the interrelationships among other urban components to improve the quality of public realm.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.219
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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