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Record W4415653121 · doi:10.1017/s0007680525100974

The Peculiar, Diverse, and Vital Business of Personal Mortgages, 1890s–1950s

2025· article· en· W4415653121 on OpenAlexaffabout
Richard Harris

Bibliographic record

VenueThe Business History Review · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReal estateVariety (cybernetics)EstatePosition (finance)Government (linguistics)

Abstract

fetched live from OpenAlex

Abstract As a source of credit on residential real estate in North America, private individuals played a vital role well into the 1950s, especially in Canada. Rare national surveys, together with varied case studies in Canada and the United States, indicate that they provided land contracts, construction loans, and first and junior mortgages to a variety of people, including family and friends and many strangers. Contacts were arranged through social networks, agents, and brokers. By comparison with major lending institutions, their role and significance have been overlooked, their loans often unrecorded. In the early decades, lenders included men and women in a range of occupations, not least because many owners offered credit to buyers to facilitate sales. By the 1950s, women, professionals, and businessmen were the main investors, the chief beneficiaries being lower-income households in less desirable districts. Some personal lenders were ill-informed or exploitive, but most enabled families to realize their aspirations to own. This sector’s decline was a consequence of federal policies that promoted national mortgage markets, making the business more professional but displacing practices that had enabled many home buyers and builders.

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: Review · Consensus signal: Review
Teacher disagreement score0.578
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.219
Teacher spread0.182 · 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
GenreReview

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

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