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Record W2337097983 · doi:10.14288/1.0086097

Evolution and impacts of public policy on the changing Canadian inner city : case study of Southwest Montreal 1960-90

2008· article· en· W2337097983 on OpenAlexaboutno aff
Geoffrey DeVerteuil

Bibliographic record

VenuecIRcle (University of British Columbia) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsPublic policyPolitical scienceGeographyRegional sciencePublic administrationEconomyEconomic growthEconomics

Abstract

fetched live from OpenAlex

The inner city has seen significant social and economic changes in the post-war period. The purpose of this thesis is to explore the evolution of public policy and its impacts on the changing Canadian inner city, between 1960 and 1990, by using a case study, that of Southwest Montreal. Southwest Montreal was Canada's first and longtime most important industrial area, and has suffered substantial decline since the 1950s. In order to set the context for the case study, it is necessary to outline the variety of the Canadian inner city, the socio-economic changes facing it, as well as the policy responses to these changes. The case study will trace the evolution of transportation, housing and economic/industrial policies between 1960 and 1990, and ascertain the impacts of these policies according to the theories of inner-city change (policy as factors of decline, stability, and revitalization). The policy input of the three levels of government (local, provincial and federal) will be covered. The case study will also be compared to other Canadian inner cities. It was found that public policy is an important, though not decisive, factor in inner-city change, and that policy has evolved significantly in the last thirty years.

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)0.001
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 score0.135
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0140.004
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.208
Teacher spread0.184 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicUrbanization and City PlanningFrench-language works237,207