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Record W4244592560 · doi:10.32920/ryerson.14654493.v1

Barriers to Mid-Rise Development in Toronto

2021· preprint· en· W4244592560 on OpenAlexaboutno aff
Robyn M. Brown

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsZoningInfillLegislationGovernment (linguistics)Urban planningEnvironmental planningGeographyPolitical scienceUrban policyEconomic growthRegional sciencePublic administrationEngineeringCivil engineeringEconomics

Abstract

fetched live from OpenAlex

In 2005 the Ontario Provincial Government introduced the Greenbelt Act, a piece of legislation that essentially capped Greenfield development in the Greater Toronto Area. In response to this policy some developers began to “leap-frog” the Greenbelt and secure development land north of the protected area, while others began to look inward to the built urban and suburban centres for intensification opportunities. Although supported by Provincial and Municipal interventionist policies there has been little intensification in the urban core. The City of Toronto's 2010 Avenues &ly ten projects have been completed. This paper, through a literature review including international sources and case studies and current policies, will examine the barriers to intensification. In addition, a qualitative key informant study of Greater Toronto Area developers and other professionals involved in midrise development will be pursued in order to establish what are the barriers to intensification. KEY WORDS: City of Toronto, Mid-Rise, Avenues, Intensification, Zoning, Places to Grow, Policy, Infill, Urban, Development

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.026
GPT teacher head0.316
Teacher spread0.290 · 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 designQualitative
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

Citations3
Published2021
Admission routes1
Has abstractyes

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