MétaCan
Menu
Back to cohort

Disputing the Character of the City: Heritage, Regeneration and the Urban Design Turn

2016· article· en· W2533297558 on OpenAlexaffabout
Jill L. Grant, Gladys Wai Kwan Leung

Bibliographic record

VenueLondon Journal of Canadian Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRedevelopmentUrban regenerationUrban planningCultural heritageArchitectureUrban designPopulationSociologyPolitical scienceEconomic growthEnvironmental ethicsGeographyEnvironmental planningCivil engineeringLawEngineeringArchaeology

Abstract

fetched live from OpenAlex

Like many cities with an abundant legacy of heritage structures and aspirations to expand their economic and population base, Halifax (Nova Scotia) experiences significant tensions between heritage conservation and urban development ambitions. On the one hand, Halifax has a vigorous heritage movement spawned in the wake of slum clearance and urban redevelopment efforts in the 1960s; heritage advocates work consistently to conserve the low-rise character of the historic city. On the other hand, it has an emergent urban design lobby supported by economic development interests and creative class ideas; development advocates call for signature high-rise buildings to attract investment and young people. With each new development proposal, community groups argue about the meaning of past and future, the nature of cultural identity and the image of the city. In this essay we examine the recent emergence of a social network of young urban professionals whose influence is growing rapidly in local debates about urban regeneration. Whereas a decade ago heritage conservation enjoyed high priority in planning debates in many parts of the world, today it competes with arguments for signature architecture and greater urban density. The urban design turn reflects changing cultural priorities but also reveals the operation of new governance mechanisms within local growth machines.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.075
GPT teacher head0.273
Teacher spread0.198 · 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 designNot applicable
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

Citations3
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueLondon Journal of Canadian StudiesSame topicCultural Industries and Urban DevelopmentFrench-language works237,207