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Record W4285464577 · doi:10.32920/ryerson.14664315.v1

A City In The Sky: Engaging The Vertical Public Realm

2021· preprint· en· W4285464577 on OpenAlexaboutno aff
Danielle Van Ooteghem

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRealmNeighbourhood (mathematics)Public spaceSociologyVariety (cybernetics)Face (sociological concept)Urban designGeographyEconomic geographyUrban planningPublic relationsPolitical scienceArchitectural engineeringCivil engineeringEngineeringSocial scienceComputer science

Abstract

fetched live from OpenAlex

Urban public spaces are synonymous with the social fabric of the city, forming overlapping networks of face-to-face interaction. As population growth in Toronto intensifies, the city is experiencing an increase in developer-driven, private high-rise residential buildings and subsequent loss of public space for social interaction. Face-to-face interaction is vital to human health and well-being as it satisfies the need for self-identity and relationships at the scale of the individual and the community. Architectural design provides the means to explore possibilities for alternative social spaces in contemporary cities through the design of a vertical public realm within high-rise residential towers. The socio-spatial organization and disposition of public and private space can foster social interaction across a variety of scales. This is vital in forming communities within a high-rise residential tower that will grow together over time, creating a cohesive urban system at the scale of the neighbourhood, community and city

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.223
Teacher spread0.179 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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