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Record W3194984172 · doi:10.32920/ryerson.14645127.v1

The ‘community' in community land trusts: the role of community control in pursuing community land trust activism

2021· preprint· en· W3194984172 on OpenAlexaffabout
Jennifer Lê

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsAffordable housingControl (management)Element (criminal law)Public administrationPolitical scienceEconomic growthEconomicsManagementLaw

Abstract

fetched live from OpenAlex

Housing in the Greater Toronto and Hamilton Area (GTHA) is increasingly unaffordable due to rising housing costs. Community land trusts (CLTs) have recently emerged as a tool for providing affordable housing in the GTHA. This paper investigated the form that CLTs should take to ensure its long-term success for providing affordable housing. Through an analysis of academic and grey literature, the element of community control was identified as being a critical success factor. This paper explored four CLTs operating in American and European contexts to understand whether and how community control was manifested and the resulting implications it had on the CLT and residents. The findings of the paper confirm the importance of community control in the long-term functioning of CLTs, and that community control can be manifested in various forms. Planners operating in the GTHA must therefore be mindful of ensuring that community control is expressed in CLTs. Keywords: Community land trust; affordable housing; community control; Greater Toronto and Hamilton Area

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.243
Teacher spread0.206 · 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 designQualitative
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
Published2021
Admission routes2
Has abstractyes

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