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Record W4232053956 · doi:10.32920/ryerson.14645124.v1

Hybrid social condenser tower

2021· preprint· en· W4232053956 on OpenAlexaffabout
Brad Miles

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTowerInfillUrbanityContext (archaeology)BlueprintArchitectural engineeringDowntownHorizontal and verticalEngineeringCivil engineeringGeography

Abstract

fetched live from OpenAlex

Toronto’s response to sprawl - and associated transportation issues is to hyper-intensify its core with high-rise condominium development in order to bring people closer to where they work. This intensification has brought new associated problems with the condominium tower which are: its tendency to interact with the city only at grade, creating vertical ‘gated communities’; the reliance upon a single unit type, overwhelming at-grade amenities; and the lack of programmatic and economic diversity for reinforcing urbanity. Towers in dense cities such as New York or Hong Kong have embraced pluralism and hybridity to combat segregation. Hybrid Social Condenser Tower is a critique of the condominium tower and a response to the context of urban infill tower development in downtown Toronto. The tower blends ground and roof by having a continuous circulation that moves up the building, connecting and juxtaposing program by interstitial spaces. This tower has been strategically located to provide urban amenities to a context that is lacking them and by doing so it attracts flux of users from both horizontal and vertical directions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.160
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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.

Opus teacher head0.012
GPT teacher head0.215
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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 routes2
Has abstractyes

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Same topicArchitecture and Computational DesignFrench-language works237,207