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Record W2751532069 · doi:10.60082/0829-3929.1270

Developers, the State, and the Politics of Private Property Rights

2009· article· en· W2751532069 on OpenAlexaffvenueabout
Donald Leffers

Bibliographic record

VenueJournal of Law and Social Policy · 2009
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsPoliticsStatuteNegotiationNonpossessory interest in landLand lawProperty rightsPolitical sciencePrivate propertyLand tenureLand useState (computer science)New institutionalismPublic administrationLaw and economicsPolitical economySociologyLawGeographyCivil engineeringEngineering

Abstract

fetched live from OpenAlex

This article uses a new institutionalist approach to investigate major land use conflicts and regional land use policy changes in the Toronto region that affected the property relations of land developers. Institutionalist approaches focus on the role of key actors, ideas, and strategies in influencing the trajectories of political institutions, and the confrontation of political and strategic maneuvering in the face of existing institutions and structures. Through comparison of the processes driving enactment of two major regional land use statutes—the Oak Ridge Moraine Conservation Act and the Greenbelt Act—this article pays close attention to the relationships between political actors and land developers, as well as the underlying political climate in shaping the development and outcomes of these statutes. This article shows that these two environmental land use statutes, which both had significant implications for the private property rights of land owners, differed in important ways in both their development and enactment. This article also shows that the enactment of provincial land use laws and their effects on private property rights are subject to greater political negotiation and contestation, and more unpredictable outcomes, than previously considered within new institutionalism. This article draws on case study research to illuminate the varied ways that land developers and key governmental decision makers exercise power, working within and against existing legal structures to forward particular agendas vis-à-vis urban land use.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.140

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)0.0000.000

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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 designTheoretical or conceptual
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
Published2009
Admission routes3
Has abstractyes

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