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Making meaning of heritage landscapes: The politics of redevelopment in Halifax, Nova Scotia

2012· article· en· W1663546377 on OpenAlexaffvenueabout
Lachlan Barber

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRedevelopmentIdeologyContext (archaeology)Interpretation (philosophy)PoliticsDowntownMeaning (existential)Nova scotiaSociologyMaking-ofField (mathematics)HistoryPower (physics)Environmental ethicsArchaeologyAestheticsMedia studiesPolitical scienceLawArtEpistemologyManagement

Abstract

fetched live from OpenAlex

This article investigates the production and maintenance of the heritage landscape in downtown Halifax, Nova Scotia. It argues that the unequal power relations that produced and were inscribed in the landscape historically continue to operate in the present. It does so by critically evaluating and contextualizing contestation over new high‐rise construction on the streets below Citadel Hill. Drawing on qualitative field work between 2005 and 2008, the article suggests that the meanings and values of heritage resources, such as views that served to protect the city, are not properly understood. A spatialized historical account shows how the creation of the colonial city depended upon the marginalization of groups that were other to the British settlers. A review of the establishment of the modern planning apparatus reveals a model of heritage interpretation that encourages an adversarial approach to the evaluation of proposals for new development. The characteristics and aspirations of pro‐development and pro‐heritage groups are examined. Finally, a case study of a controversial proposal to build a high‐rise building in a prominent location is presented. The article contributes to critical landscape studies by using a postcolonial approach to study the ideological underpinnings of built heritage in the Canadian context.

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 score0.458
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.219
Teacher spread0.169 · 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

Citations17
Published2012
Admission routes3
Has abstractyes

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