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Record W3190458521 · doi:10.1080/19491247.2021.1946639

Mortgage regulation as a quick fix for the financial crisis: standardised lending and risky borrowing in Canada and the Netherlands

2021· article· en· W3190458521 on OpenAlex
Dolly Loomans, Maria Kaïka

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Housing Policy · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)Financial crisisGovernment (linguistics)BusinessFinancial systemPsychological interventionFinancial marketFinanceMortgage underwritingState (computer science)Secondary mortgage marketMortgage insuranceEconomicsMedicine

Abstract

fetched live from OpenAlex

Although the role of the housing sector in the unfolding of the 2007-08 Global Financial Crisis has been studied extensively, the post-crisis nexus between housing and finance has not received equal attention. Grounded in a comparative case study between Canada and the Netherlands, this article adds situated knowledge from mortgage market professionals. It discusses the state interventions for regulating mortgage markets that were pursued by each national government during and after the crisis. Our analysis shows that in both cases state interventions contributed to restoring the investment value of mortgage products and failed to de-link housing from global speculative financial practices. Standardised lending regulations targeting the ‘average man’ were put in place. These contributed to further excluding non-prime households from mortgage markets, and drove them into risky practices, such as borrowing outside regulated markets. In addition, the new regulatory regimes forced households that retained access to mortgage markets to become highly leveraged and exposed to increased risks in future crises scenarios. We argue that the policies put in place as a response to the crisis in Canada and the Netherlands, ultimately led to a shift in risk-taking from lenders to current and prospective mortgage holders.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.813

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 science0.0000.000
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 head0.017
GPT teacher head0.256
Teacher spread0.240 · 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