MétaCan
Menu
Back to cohort
Record W4415477762 · doi:10.32920/29873669.v1

Re-Envisioning Suburban Corridors : Intensifying Markham with Incremental Metropolitanism

2025· article· W4415477762 on OpenAlexaboutno aff
Tejinder Babbar

Bibliographic record

Venuenot available
Typearticle
Language
FieldArts and Humanities
TopicLiterary, Cultural, Historical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsUrban sprawlInfillPedestrianAffordable housingSubdivisionBoroughLand use

Abstract

fetched live from OpenAlex

Expanding sprawl into the Greenbelt around the GTHA or further concentrating development in the expensive inner core will consume immense economic and environmental resources, will not solve Toronto’s housing and affordability crisis, or create lively communities. Urban intensification theories support the idea that the GTHA’s ‘Inner Ring’ of post-war suburbs can provide significant opportunities for housing infill while providing qualitative improvements to the urban experience of the local communities already there. This thesis, contextualized in one of these early lower-density suburbs of Markham, looks for opportunities within the existing suburban footprint for serviced but underutilized land to provide more affordable housing, street edges retrofitted for pedestrian orientation, lively communities, and intensification along the existing arterial infrastructure. This thesis uses the framework of existing low-density post-WWII neighbourhoods to test how we might create enlivened and walkable neighbourhoods that are more supportive of their emergent multicultural demographic through architecture, programming, landscape, and road infrastructure interventions.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.012
Scholarly communication0.0040.004
Open science0.0010.009
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.229
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicLiterary, Cultural, Historical AnalysisFrench-language works237,207