MétaCan
Menu
Back to cohort
Record W4412713916 · doi:10.69520/jipe.v7i1.261

Clustering Ontario Renters

2025· article· en· W4412713916 on OpenAlexaffabout
Anthony Piscitelli

Bibliographic record

VenueJournal of innovation in polytechnic education. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsConestoga College
Fundersnot available
KeywordsRentingPurchasingBusinessMarketingPlan (archaeology)Cluster (spacecraft)GeographyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

A survey conducted in the Canadian province of Ontario was used to identify five groups of renters through factor analysis and cluster analysis. 1) Former Buyers are older individuals who have purchased in the past or explored purchasing and are now renting. 2) Active Buyers are individuals who are planning to buy and have taken steps, such as securing pre-approval on a mortgage, to begin to find a home to purchase. 3) Planning Buyers plan to purchase a home but have yet to take active steps. 4) Considering Planning are individuals who may or may not someday purchase a home. 5) Not Planning are individuals who do not believe they will ever own a home. These groups are compared to measure attitudes toward their homes, neighbourhoods, civic issues, and well-being.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.346
Teacher spread0.321 · 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
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

Same venueJournal of innovation in polytechnic education.Same topicUrban, Neighborhood, and Segregation StudiesFrench-language works237,207