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Record W4383853272 · doi:10.56687/9781447305750

Exploring the Production of Urban Space

2016· book· en· W4383853272 on OpenAlexaboutno aff
Michael Edema Leary-Owhin

Bibliographic record

VenuePolicy Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Space (punctuation)GeographyComputer scienceEconomics

Abstract

fetched live from OpenAlex

The ideas of Henri Lefebvre on the production of urban space have become increasingly useful for understanding worldwide post-industrial city transformation. This important book uses new international comparative research to engage critically with Lefebvre’s spatial theories and challenge recent thinking about the nature of urban space. Meticulous research in Vancouver, Lowell MA and Manchester, England, explains how urban public spaces, including differential space, are contested and socially produced. Spatial coalitions, counter-representations and counterprojects are seen as vital elements in such processes. The book contributes critically to the post-industrial city comparative analysis literature. It provides an accessible guide for those who care about cities, public space, city planning and urban policy. This interdisciplinary book will be of interest to academics, researchers and postgraduate students in the fields of urban: geography, planning, policy, politics, regeneration and sociology. It will also be relevant for politicians, policy makers and urban activists.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.143
GPT teacher head0.311
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2016
Admission routes1
Has abstractyes

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