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Record W2611412246 · doi:10.1177/1206331217707473

The Production of Public Space in a Small Canadian City: An Analysis of Spatial Practices in the Revitalizing of Galt Gardens

2017· article· en· W2611412246 on OpenAlexaffabout
Michael Granzow

Bibliographic record

VenueSpace and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDowntownPublic spaceSpace (punctuation)RecreationProduction (economics)Public parkSociologyGeographyPolitical scienceLawArchaeologyEngineeringArchitectural engineeringEnvironmental planning

Abstract

fetched live from OpenAlex

This article critically assesses a series of spatial practices implicated in the spatial production of a revitalized public park in downtown Lethbridge, Alberta, Canada. I find that the park’s revitalization tends to encourage short-term, recreational crowd practice. Specifically, I show how recent material improvements, such as the replacement of park benches and the addition of a plaza and water feature, distinguish between “positive” and “negative” users of the park. I begin the analysis by using Barthes’s influential work on signification to discuss four murals that came to frame the park’s most recent revitalization. Considered as “materials of myth,” I argue that these murals both commemorate and reproduce a depoliticized version of local history, one that relies on certain forgettings. I find that the widely celebrated revitalization of Galt Gardens hinges in part on practices of exclusion and racialization as forms of urban purification.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0170.016
Scholarly communication0.0070.002
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.353
Teacher spread0.282 · 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 designQualitative
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
Published2017
Admission routes2
Has abstractyes

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