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Record W2124783146 · doi:10.1068/a44178

Assembling Urbanism: Following Policies and ‘Studying Through’ the Sites and Situations of Policy Making

2012· article· en· W2124783146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRubricAssemblage (archaeology)OrthodoxyUrbanismSociologyIdeologyUrban policyPolitical scienceEpistemologyPublic relationsPoliticsUrban planningArchitectureLawEngineeringGeographyCivil engineering

Abstract

fetched live from OpenAlex

Recent years have seen a challenge to the territorial orthodoxy in urban studies. An interest in policy assemblage, mobility, and mutation has begun to open up ‘the what’ and ‘the where’ of urban policy making. Unfortunately—but perhaps not surprisingly—theoretical developments and empirical insights have run ahead of significant methodological considerations. This paper turns to some of the methodological consequences of studying the chains, circuits, networks, and webs in and through which policy and its associated discourses and ideologies are made mobile and mutable. It focuses on three rubrics under which methodological decisions can be made: ‘studying through’ (rather than studying up or down), techniques of following actors, policies, etc, and relational situations in which mobilization and assemblage happen. The paper concludes with a brief reflection on how academic research design and writing assemble cities and urban policy making in ways that parallel the assembling practices of policy actors.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.607

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 studies0.0010.000
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 head0.042
GPT teacher head0.296
Teacher spread0.254 · 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