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Record W2253309844 · doi:10.14288/1.0106387

Evaluating the need for low-rental housing : a review of conditions among family applications for the Little Mountain Low-Rental Housing Project, Vancouver, and consideration of criteria for future housing projects

2012· review· en· W2253309844 on OpenAlexaboutno aff
Michael Wheeler

Bibliographic record

VenuecIRcle (University of British Columbia) · 2012
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRental housingRentingSubdivisionLow income housingBusinessPublic housingEnvironmental planningCivil engineeringEngineeringEconomic growthGeographyEconomics

Abstract

fetched live from OpenAlex

The need for public low-rental housing is frequently discussed but there is little exact knowledge of the amount or kind of need, and few surveys of definitive type. The inauguration of the first subsidized low-rental project for family housing in Vancouver (Little Mountain) makes possible such a study. This survey is directed particularly to the housing and income circumstances of the families who applied for entrance to the Little Mountain low-rental housing project (only a small proportion of whom were actually housed in the finished buildings). Samples only could be used: the data relates to the kind of housing occupied by the applicant families, the costs of such housing, its quality and adequacy, the size and composition of the families, and their rent-paying capacity. It is -also an essay on method: (a) a simple schedule was devised, appropriate for summarizing the varied family and housing information contained in the registration forms; (b) classifications or subdivisions by which housing can be related to family circumstances were developed. A significant division is that between (1) 'normal' families which have both parents, (2) broken families which have only one parent, and (3) composite families which include other relatives. The analysis of the material is pursued in three directions: (a) adequacy or inadequacy of family accommodation, and its distribution, (b) summary methods of relating housing conditions to family composition, income, and rent, (c) budgetary aspects of rent and costs, and potential rent-paying capacities of families. Information for the study was obtained from the Vancouver Housing Authority registration forms filled by families who applied for accommodation in the Little Mountain project; from regional (B.C.) statistics of the Central Mortgage and Housing Corporation; and from relevant literature on housing conditions in Vancouver and on housing policy in general, including the surveys and publications of the Vancouver Housing Association. Most of the families were found to be occupying accommodation unsuited to their needs. There is considerable incidence of inadequacy and inefficiency of accommodation; overcrowding is particularly pronounced. Many of the families are paying moderate rents, but the quality of the accommodation is low. Payment of higher rents does not necessarily ensure adequate shelter, because the available amount of satisfactory housing is limited. A major implication of the study is that rent-levels should not be used as a measurement of housing without proper relation to family composition and types of housing need. Wider implications of the study, discussed in the concluding chapter, include (a) limitations to the idea of "self-help" in housing, (b) the relevance of home-ownership, and (c) the relevance of public housing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.347
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0120.018
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.342
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2012
Admission routes1
Has abstractyes

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