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Record W1990825062 · doi:10.1177/1078087408325257

Mad Cows, Regional Governance, and Urban Sprawl

2008· article· en· W1990825062 on OpenAlexaffabout
Geoff Ghitter, Alan Smart

Bibliographic record

VenueUrban Affairs Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsUrban sprawlMetropolitan areaEconomic geographyPoliticsCorporate governanceGeographyPerspective (graphical)Unintended consequencesHuman geographyUrbanizationNarrativeEconomic growthPolitical scienceRegional scienceSociologyUrban planningEconomicsEcology

Abstract

fetched live from OpenAlex

History matters. Inspired by evolutionary approaches in economics and, more recently, economic geography, the authors present, through the lens of a slaughterhouse development on the city's fringe, a historical model of urban development in the metropolitan region of Calgary, Canada. Their analysis shows how an unanticipated system shock conditioned by strong historical differences in the political and economic aspirations of adjacent urban and rural jurisdictions manifested at multiple temporal and spatial scales. Their narrative explores the intertwined evolutionary trajectories of five key system elements whose pathways converged in 2004, resulting in unintended, and from a regional environmental perspective, undesirable, consequences.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.255
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.009
Scholarly communication0.0050.002
Open science0.0010.001
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 head0.048
GPT teacher head0.265
Teacher spread0.217 · 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 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

Citations27
Published2008
Admission routes2
Has abstractyes

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