MétaCan
Menu
Back to cohort
Record W2511783374

Building on Building on Main Streets

2008· dissertation· en· W2511783374 on OpenAlexaboutno aff
Adrian Politano

Bibliographic record

VenueUWSpace (University of Waterloo) · 2008
Typedissertation
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringConstruction engineeringEngineeringCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the problems of building on Toronto’s main streets. These arterial mixed-use corridors that define much of the public face of the city are the subject of ongoing residential intensification efforts through the Official Plan policies of the City of Toronto. The form that this new development takes can either reinforce and improve existing streetscapes and housing stock, or it might –as is already happening– replace the long-established vital urban patterns of main streets with very different, less versatile, and less diverse building forms with a diminished standard of both urban and interior living space. Part I considers main streets at the urban scale, while Part II is a discussion of housing quality and architectural aims that informs a series of proposed prototypical building designs to be located on a site on Queen Street West as an example of site conditions found on main streets in a variety of locations throughout the city.
\n\tTo understand the urban implications of main street building, this study looks at the specific historical factors that have shaped Toronto’s main streets, and looks at why they continue to have value and have become a focus for intensification today. It revisits key episodes in Toronto’s redevelopment planning over the last four decades, particularly the St. Lawrence Neighborhood Plan, the Ataratiri Plan, and the Housing on Toronto’s Main Streets Initiative. The precedent historical research points to the need for small increments of development on main streets in order to maintain the economic, social, and visual diversity that have made them such a vital and dynamic component of the city in the past. This scale of development calls for new building types to respond to the very particular site conditions of main streets. Modern building types that are typically used in these situations are ill suited to respond to these conditions, provide a limited range of unit types, and are leading to compromises of urban and interior spatial quality when applied to these sites. 
\n\tThe architectural discussion centers on the observation that traditional main street lot patterns, despite inherent rigidity and rationality, have nonetheless proven to be a functionally flexible urban structure that has accommodated and encouraged a remarkable diversity of uses, architectural forms, and individual interpretations over time. Comparable complexity and diversity of spatial qualities can be found in a variety of architectural design approaches, including those of Adolf Loos’ ‘Raumplan’, Rudolf Schindler’s ‘Space Architecture’, or Herman Hertzberger’s concept of ‘Polyvalent Form’. The spaces created by these architects are an architectural analogue of the dynamic, richly varied urban characteristics of Toronto’s existing main streets. Both create the opportunities for individual expression and continually varied spatial experience that better reflects the complexity of both urban and domestic life. These precedents of architectural form -imbued with qualities of multiplicity, heterogeneity and reinterpretability- propose a counterpoint to the standard of functionally rigid, spatially limited and typologically predictable buildings and living spaces currently available. The proposed building designs are intended to widen the options for dwelling within the city, while offering an update and intensification of main streets that reinforces rather than replaces desirable existing urban patterns.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.183
Teacher spread0.174 · 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 designBench or experimental
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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicUrban Design and Spatial AnalysisFrench-language works237,207