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Record W4288032704 · doi:10.2495/sdp220061

CIVIC DISCOURSE AND SPACE ACTIVATION AS A COLLABORATIVE CITY-BUILDING PROCESS

2022· article· en· W4288032704 on OpenAlexaffabout
EMILY KLOPPENBURG, BEATRIZ MARTINS, CINDY NACHAREUN, REBECCA POSCHMANN, Fabian Neuhaus

Bibliographic record

VenueWIT transactions on ecology and the environment · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsUrbanismPublic spaceOutreachPublic relationsSociologyRealmArchitectural engineeringPerspective (graphical)Space (punctuation)Process (computing)Service (business)ArchitecturePolitical scienceEngineeringComputer scienceBusinessVisual artsMarketing

Abstract

fetched live from OpenAlex

With tactical urbanism, we utilize a method that involves citizens by taking a hands-on approach to the city-building process. The undertaken, short-term transformation through co-created projects builds on existing individual and collective identities. Applying tactical urbanism to the public realm will shift current perceptions of a space from a service to a collaborative venture that enables engagement for all persons. Together, a NEXT Calgary is created. The outreach for this project focuses on the public and civic discourse, specifically addressing the conversations about the built environmental in Calgary, AB. This paper will provide examples on how tactical urbanism was implemented across Calgary whether through little surprises woven into the urban fabric or how the project allowed Calgarians to (re)connect with the everyday. There are two angles to this approach. One is the public perspective and how the public related to the work, and the other angle is the official perspective of how bodies and the city have grudgingly come along the journey.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.013
GPT teacher head0.266
Teacher spread0.252 · 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
Published2022
Admission routes2
Has abstractyes

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