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Record W4403862612 · doi:10.1080/02665433.2024.2411391

Regulating capital investment in urban property: towards comparative-historical research in planning history

2024· article· en· W4403862612 on OpenAlexafffundabout
André Sørensen

Bibliographic record

VenuePlanning Perspectives · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCapital (architecture)Property (philosophy)Investment (military)Capital investmentUrban planningEconomicsEconomic geographyBusinessEconomic systemEconomyPolitical scienceGeographyFinanceCivil engineeringEngineeringArchaeologyPoliticsLawEpistemology

Abstract

fetched live from OpenAlex

This paper makes three main contributions: First, we argue that spatial planning institutions have become fundamental ‘rules of the game’ regulating development and defining urban property rights, and that the differences of approach between places can best be explained as a product of historical processes of institutional development. Second, we introduce a historical institutionalist theory of contested institutional development based on concepts of critical junctures of major institutional change followed by reactive sequences of institutional contestation in strategic action fields. We outline a methodologically institutionalist research method designed to produce replicable comparative research of long-run processes of institutional change, based on historical narratives employing process-tracing of institutional change and examination of permissive and productive factors structuring such change. This approach generates clear research questions and supports causal analysis of processes and mechanisms of change in urban property systems to explain why current institutions take the form they do. Third we illustrate the theory and research method with the case of Toronto, a fast-growing city where property rights and obligations and development control regulations have been vigorously contested. The conclusions explore the implications for planning theory and for comparative-historical research of this analysis of institutional change processes and mechanisms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.211
GPT teacher head0.333
Teacher spread0.122 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2024
Admission routes3
Has abstractyes

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