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Record W2007527477 · doi:10.1068/a3450

An Approach for Measuring Urban Deprivation Change: The Example of East Montréal and the Montréal Urban Community, 1986 – 96

2001· article· en· W2007527477 on OpenAlexaffabout
Peter Kitchen

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGeographyNeighbourhood (mathematics)CensusUrban planningRegional scienceUrban geographySocial deprivationEconomic geographyEconomic growthSociologyDemographyPopulationCivil engineeringEconomicsMathematics

Abstract

fetched live from OpenAlex

The concept of urban deprivation has emerged as an important theme in urban geography and urban studies. In light of the significant problems and issues affecting cities in North America and Europe there is a growing need for researchers to acquire a better understanding of the process of urban social change. In this paper the author proposes a model of urban deprivation change and applies it with the use of census indicators to East Montréal, a section of the central city, and the Montréal Urban Community. The changing spatial structure and nature of urban deprivation is examined at the neighbourhood level in this study area over the period 1986 – 96. The author finds that urban deprivation is largely an economic problem, with declining conditions apparent throughout a large part of Montréal's central city and in several inner-suburban municipalities. The model, selection of indicators, and statistical techniques presented in this paper can be used as a guide for further research into urban deprivation change in other urban centres.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.064
GPT teacher head0.228
Teacher spread0.164 · 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 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

Citations21
Published2001
Admission routes2
Has abstractyes

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