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Record W3181440992 · doi:10.1177/0308518x211031919

Business improvement areas and the socio-cultural power of lobbying: Imposing market interests to affordable housing development

2021· article· en· W3181440992 on OpenAlexaffabout
Daniel Kudla

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAffordable housingPoliticsJurisdictionPower (physics)Local governmentWork (physics)Government (linguistics)SociologyEconomic powerPublic relationsEconomicsPolitical economyPolitical sciencePublic administrationEconomic growthLaw

Abstract

fetched live from OpenAlex

While studies have shown that Business Improvement Areas (BIAs) manage and control their physical urban spaces to generate local economic growth, little work has examined how these organizations lobby for their market interests during key decision-making processes. Drawing from the pragmatic sociology of critique, this paper develops a theoretical framework to explain how political-economic power is socio-culturally encoded during local government decision-making processes. Socio-cultural power is defined through two interrelated processes: (1) interactional settings where social actors practice their critical capacity by drawing upon socio-historically created moral orders and (2) the extent to which institutional experts limit laypersons' critical capacity and successfully construct local realities to advance their agendas. This framework is applied to London, Ontario's Old East Village to show how the local BIA influenced two separate affordable housing development plans. Based on interviews, participant observation, and document analysis, the findings show that the Old East Village BIA strategically framed and co-opted community critiques of these developments in a way that justified their own market interests (more feet on the street) over the community's civic interests (the provision of affordable housing). This paper extends the BIA literature by demonstrating BIA influence over affordable housing development, local matters that are outside the purview of their commercial jurisdiction.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.195
Teacher spread0.180 · 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 teacher head, 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

Citations10
Published2021
Admission routes2
Has abstractyes

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