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Record W2774588510

Rights, meaning and the privatization of public space: A case study of Toronto's Dundas Square

2005· dissertation· en· W2774588510 on OpenAlexaboutno aff
EH Burgess

Bibliographic record

VenueDoctoral thesis, UCL (University College London). · 2005
Typedissertation
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsPublic spacePublic relationsRealmGlobeMeaning (existential)Context (archaeology)Space (punctuation)NewspaperSquare (algebra)Political sciencePublic administrationSociologyEngineeringMedia studiesGeographyLawPsychologyArchitectural engineering
DOInot available

Abstract

fetched live from OpenAlex

The following dissertation is an investigation into the creation of a new public space in Toronto. The evaluation involved examining the space in relation to changes occurring in the public realm, including increased privatization and control. It also examined the project within the context of global changes affecting urban growth, such as place marketing, adoption of entrepreneurial strategies and the increasing role of private interests in public development. The research involved a qualitative case study investigating the planning, implementation, and outcome of the square. A series of in depth interviews were performed with relevant stakeholders and urban professionals, supported by examination of planning documents, newspaper articles, journal articles and site analysis. The research revealed that the use of a new method of management and the intention to manage the square as a profit making events venue to interfered with the public nature of the square. It concluded that the space's ability to fulfill the needs, rights, and development of meaning necessary for good public space was sacrificed by the desire to create a commercial space that satisfies the goals of local businesses and their desired consumers. Dundas Square is reminiscent of controlled, homogenized public spaces being created in newly regenerated downtowns across the globe. The implications are increased polarization in cities and the creation of spaces that are sanitized and exclusionary.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.209
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.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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