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Record W4407409655 · doi:10.1080/1081602x.2024.2448986

The new rules: housing shortage as an explanation for family and household change across large metro areas in Canada, 1981–2021

2025· article· en· W4407409655 on OpenAlexaffabout
Nathanael Lauster, Jens von Bergmann

Bibliographic record

VenueThe History of the Family · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomic shortageEconomic growthGeographyRegional scienceEconomics

Abstract

fetched live from OpenAlex

We examine whether housing shortages can usefully explain household and family change. We contextualize our investigation within the cultural history of emerging normative rules guiding both household formation and municipal regulatory practices within North America across the early Twentieth Century. We argue that encoding the new rules into bylaws has contributed to housing shortages since the late Twentieth Century. The uptake of new rules as cultural norms links housing shortages to household change. As a guideline, the new rules promote households broadly similar to Ermisch and Overton’s (1984) concept of minimal household units. To measure the relationship between housing shortage and household change, we gather data on rents and minimal household unit status across nine major metropolitan areas within Canada. We are able to establish a long timeline for rents from 1921–2021, but available census data limit our investigation into household change to the period from 1981–2021. Conceptualizing household change as being driven by a variety of factors we establish a robust relationship whereby lower rents sort more young adults (age 20–44) into minimal household units over this time period. The rising multiculturalism of Canada’s big cities complicates our interpretation of cultural rules, but the effects of housing shortages on assortment into minimal household units offers a robust explanation for recent historical change in families and households.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.507

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.053
GPT teacher head0.234
Teacher spread0.181 · 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 designNot applicable
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

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