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Reassessing the Case for Development Charges in Canadian Municipalities

2022· article· en· W4311625638 on OpenAlex
Andrew Sancton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Planning and Policy / Aménagement et politique au Canada · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsWestern University
Fundersnot available
KeywordsSloganSubdivisionMetropolitan areaGrowth managementUrban planningEconomic growthBusinessPolitical sciencePublic administrationEconomicsGeographyLand useLawEngineeringPolitics

Abstract

fetched live from OpenAlex

“Growth should pay for growth.” This slogan — the common justification for development charges — is rarely challenged in municipal circles. Development charges evolved from post-1945 subdivision agreements and were initially accepted by most developers as a mechanism for enhancing the likelihood that current residents in a municipality would agree to new development. They now add as much as $135,000 to the cost of a new house in some parts of the Greater Toronto Area. If we wish to lower the cost of housing in our prosperous cities, we must consider reverting to the past practice of having municipalities pay for new infrastructure associated with development. Such a policy — still largely in place in metropolitan Montreal — would lead to increased levels of municipal borrowing and modest increases in property taxes. This report explores the origins of development charges in the United States and Canada, and examines how they have been assessed in the academic literature.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.000
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 head0.039
GPT teacher head0.330
Teacher spread0.291 · 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