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Record W1529469116 · doi:10.1111/anti.12168

Pursuing Urban Commons: Politics and Alliances in Community Land Trust Activism in East London

2015· article· en· W1529469116 on OpenAlexafffund
Susannah Bunce

Bibliographic record

VenueAntipode · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCommonsBoroughPoliticsCollective actionStewardship (theology)Contentious politicsCorporate governancePublic administrationPolitical scienceSociologyPolitical economyLawManagementEconomicsSocial movement

Abstract

fetched live from OpenAlex

Abstract Community land trust (CLT) practices contribute to analyses of the commons in both conceptual and on‐the‐ground ways. As collective action organizations, CLTs emphasize common land stewardship and resist traditional land speculation and development practices through the mitigation or halting of land value inflation. This paper traces the activist efforts of the East London CLT organization, one of Britain's first urban CLTs, in securing common land in the East London borough of Tower Hamlets, and examines their navigation of political decisions and creation of alliances. Although this process has been challenging as a result of neoliberal governance and private development interests, the East London CLT's trajectory demonstrates the frustrations of activism within these contexts but also the small successes in the pursuit and establishment of urban commons.

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)0.002
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0070.003
Open science0.0010.009
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.063
GPT teacher head0.250
Teacher spread0.187 · 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

Citations80
Published2015
Admission routes2
Has abstractyes

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