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The Business Ethic and the Ethic of Care: Business Improvement Associations, Emergency Shelters and the Hybridity of Urban Governance in Action

2025· article· en· W4408557457 on OpenAlexaff

Bibliographic record

VenueEuropean Journal of Geography · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHybridityAction (physics)Corporate governanceBusinessBusiness ethicsSociologyPublic relationsPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Business Improvement Associations (BIAs) – also referred to as Business Improvement Districts (BIDs) – and emergency shelters are two important entities in the hybridity of urban governance and order, even though, facially, this might not appear to be so, especially given the fundamentally different nature of the ethic of each: between protecting and enhancing business (and, to some extent, community and residential) interests related to profit and property values (BIAs) and serving the wellbeing of marginalized persons, such as the visibly poor or homeless (emergency shelters). This paper reads the ethics of BIAs alongside and against that of emergency shelters to claim that while the interests, values, and rationales of each are profoundly and fundamentally different, one premised upon a business ethic (BIAs) and the other on an ethic of care (emergency shelters), each ends up being severely oppressive to marginalized persons whether by intention or implication of their very being. As such, the article examines the way different forms of governance come together in the current urban landscape and helps shed light upon some of the workings of the hybridity of urban governance.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.139
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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