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Record W2990234014 · doi:10.1111/cag.12577

The changing place of condominiums across a metropolitan area, 1970–2015

2019· article· en· W2990234014 on OpenAlexaffvenueabout
Richard Harris, Geoff Rose

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDowntownMetropolitan areaNewspaperGeographyValue (mathematics)RentingRegional scienceEconomic geographyPolitical scienceSociologyMedia studiesArchaeologyLaw

Abstract

fetched live from OpenAlex

By definition, all condominiums share social features and challenges of governance, but they have inspired two separate narratives: as suburban, often gated, communities and as downtown high‐rises or conversions. In Canada, as elsewhere, research has focused on large urban areas, neglecting subtly different dynamics in smaller centres. The purpose of this case study of mid‐sized Hamilton, Ontario, was to assess whether and how those dynamics are different across a whole metro area, using newspapers and building permit data. It tracks the changing place of condo developments and conversions across Hamilton since 1970. For decades, most developments were suburban town (row) houses; since 2000, downtown revival has included conversions and taller, new‐build projects. It argues that early developments and conversions reflected a “value gap” in relation to purpose‐built rental apartments. Led by a migrant arts community, recent centralization has exploited an inner‐city “rent gap,” coupled with a popular reassessment of urban living.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.237
Teacher spread0.228 · 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 designObservational
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

Citations7
Published2019
Admission routes3
Has abstractyes

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