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Record W2602498360

Exploring the Production of Urban Space: Differential Space in Three Post-Industrial Cities

2016· article· en· W2602498360 on OpenAlexaboutno aff
Jenny Wood

Bibliographic record

VenueTown Planning Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)PoliticsValue (mathematics)SociologyRepresentation (politics)Differential (mechanical device)Political scienceLawComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Exploring the Production of Urban Space: Differential Space in Three Post-Industrial Cities, Michael Edema Leary-Owhin, Bristol, Policy Press, 2016, 380 pp-, £70 ISKN978i447305743Lefebvre's theories around space and politics have been drawn on extensively in human geography. Of particular note is the work of David Harvey (2009), and Edward Soja (1989) in extrapolating their relevance to the current state of the world. What has perhaps been missing from the literature, however, is a comprehensive exploration of Lefebvre in relation to planning and urban regeneration. By starting from Lefebvre's original theories (Lefebvre and Nicholson-Smith, 1991), Exploring the Production of Urban Space develops the implications of his spatial triad (spatial practice, spaces of representation and representations of space) and then focuses on three of Lefebvre's other types of space (abstract space, differential space and counter projects). It then applies these understandings through intricate case study analysis of three post-industrial city districts, focusing on the often unexplored concept of 'differential space'. This denotes places that are often in transition, and which prioritise human-use value over economic value. This emphasises the complexities of public and private interests on space, and asks how social struggles contribute to urban development. What results is an optimistic view of the potential for cities to adapt and evolve to changing social and political circumstances.Leary-Owhin takes the reader on a journey from the 1960s through to 2010, setting out the actors and processes that contributed to three urban regeneration processes in Vancouver, Lowell and Manchester. These are explored in meticulous detail through a mixture of interview and document analysis to bring together the, often surprising, history of how certain spaces came to be, and continue to evolve. These case studies vary across geography, but all have something in common - a heritage that during the 1960s was undervalued and at risk from private commercial interests. Chapter 1 explores the meaning of Lefebvre's spatial triad and introduces the three case studies. Each city is then dealt with in turn over the course of two chapters, before Chapter 8 draws some comparisons, explores the differences and provides some deliberately general observations of how these insights could influence practice.In my own research I have brushed up against Lefebvre's neo-Marxist take on space, but cannot claim I was fully familiar with its implications before I read this book. By applying Lefebvre's theory to his empirical findings, Leary-Owhin elucidates some of the more challenging points of the theory, and develops them over a strong empirical narrative. This means the author's efforts contribute significantly to current debates in the governance of space, and the variety of community participation that takes place in cities; from the formal lobbying of residents' groups to street protest. …

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)0.002
metaresearch head score (Gemma)0.002
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 score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.007
Science and technology studies0.0180.018
Scholarly communication0.0070.004
Open science0.0030.014
Research integrity0.0020.003
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 head0.161
GPT teacher head0.309
Teacher spread0.147 · 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

Citations18
Published2016
Admission routes1
Has abstractyes

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