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Record W4400745771 · doi:10.1080/15575330.2024.2379846

The fate of closed schools: Documenting the relationships between school property reuses and their beneficiaries in Ontario, Canada

2024· article· en· W4400745771 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of VictoriaQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProperty (philosophy)Economic growthPublic administrationBusinessSociologyEnvironmental planningPolitical scienceGeographyEconomics

Abstract

fetched live from OpenAlex

Public schools play a pivotal role in successful community development. Yet, with school closures on the rise across North America, there is limited knowledge on the outcomes of closed school properties. This study documents the afterlife of closed school properties in Ontario, Canada, identifying their potential beneficiaries, and assessing the prevalence of property vacancies. Using a dataset of over 400 schools closed between 2011 and 2021, we determined that the prevalence of certain school property reuses varied by degree of urbanicity. Fewer than one-fifth of reused properties were designed to benefit highly deprived populations, despite over half of the school closures occurring in neighborhoods with higher levels of deprivation. Furthermore, one-third of school properties remained vacant at the time of study, 36% of which closed over a decade ago. The findings reflect the need for additional consideration of the future uses of school properties prior to their closures.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.074
GPT teacher head0.269
Teacher spread0.195 · 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