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“<scp>G</scp>enerationed” space: Societal restructuring and young adults' changing residential location patterns

2013· article· en· W1930257208 on OpenAlexafffundvenueabout
Markus Moos

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Waterloo
FundersSimon Fraser University
KeywordsMetropolitan areaGentrificationAmenityRestructuringSuburbanizationConsumption (sociology)GeographyEconomic geographyPopulationDecentralizationEconomic growthDemographic economicsSociologyPolitical scienceDemographyEconomicsSocial science

Abstract

fetched live from OpenAlex

Abstract Considering Vancouver and Montreal as case studies, this article demonstrates the increasing centralization of the young adult population since the early 1980s. Gentrification, which brings higher income earners to the inner city, is often explained as a class‐based process associated with post‐industrial, post‐Fordist, and, more recently, neo‐liberal restructuring. However, delays in child‐bearing, increasing educational attainment, and the growing amenity and housing component in inner cities have also sharpened the division of space by demographic variables such as age and household size—variables that relate to life‐cycle stage, consumption practices, and generational differences. This article contributes to the understanding of the factors delineating urban space by considering residential location patterns of two different generations of young adults in two metropolitan areas. The findings show that today's young adult residential ecology is increasingly defined by proximity to transit, high‐density housing, and walkability to urban amenities. Due to the higher‐priced housing market and land use planning policies emphasizing densification, the residential pattern is one of concentrated decentralization in Vancouver. In Montreal, centralization of young adults is mostly associated with changing household profiles. In both metropolitan areas, the inner city residential ecology is increasingly delineated by young adults.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.007
GPT teacher head0.169
Teacher spread0.162 · 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.

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

Citations67
Published2013
Admission routes4
Has abstractyes

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