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Record W2955725145 · doi:10.4324/9780203802182-12

Space and revolution in theory and practice: eight theses

2012· article· en· W2955725145 on OpenAlexaboutno aff
Kanishka Goonewardena

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsHegemonyWorking classDialecticProletariatCapitalismSpace (punctuation)SociologyPleasureQuarter (Canadian coin)Class (philosophy)AestheticsHistoryPolitical scienceLawEpistemologyPhilosophyArchaeologyPsychology

Abstract

fetched live from OpenAlex

How can space be political? Evidently, a few good answers to this question have been obvious to the rulers of the world in the age of cities, and to their architects and urban planners, who knew well what Henri Lefebvre called the “production of space” had to do with what Antonio Gramsci named political hegemony – in both objective and subjective terms. We can see this most clearly with the benefit of some historical distance, as does Kevin Lynch at the outset of Good City Form (1981), by observing not only the material embodiment of political authority in urban space, but also the dialectical unity of urban forms and cosmologies projected by them in the ancient cities of various civilizations. But it was Friedrich Engels who first offered a truly critical perspective on the politics of space at the dawn of industrial capitalism, in The Condition of the Working Class in England in 1844:Owing to the curious lay-out of the town it is quite possible for someone to live for years in Manchester and to travel daily to and from his work without ever seeing a working-class quarter or coming into contact with an artisan. He who visits Manchester simply on business or for pleasure need never see the slums, mainly because the working-class districts and the middle-class districts are quite distinct … To such an extent has the convenience of the rich been considered in the planning of Manchester that these plutocrats can travel from their houses to their places of businessin the centre of the town by the shortest routes, which run entirely through working-class districts, without even realizing how close they are to the misery and filth which lie on both sides of the road.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2012
Admission routes1
Has abstractyes

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