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Record W1970561317 · doi:10.1163/1569206x-12341297

Urban Marxism and the Post-colonial Question: Henri Lefebvre and ‘Colonisation’

2013· article· en· W1970561317 on OpenAlexaff
Stefan Kipfer, Kanishka Goonewardena

Bibliographic record

VenueHistorical Materialism · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsColonialismSociologyDialecticAlienationContext (archaeology)ColonisationAestheticsEpistemologyHistoryPolitical scienceLawPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Abstract The post-colonial has often functioned as a code word for a form of French post-theory. In more recent efforts to reconstruct linkages between metropolitan Marxism and counter-colonialism, the post-colonial refers to an open-ended research field for investigating the present weight of colonial histories. But even in these reformulations, post-colonial research presents formidable challenges to Euro-American urban Marxism. In this context, this paper redirects Henri Lefebvre’s work to analyse post-colonial situations. It traces in particular the notion of ‘colonisation’ as it develops from his critique of everyday life (which signalled an extension of his critique of alienation) to his work on the state (where the notion reappears in discussions of theories of imperialism). We argue that Lefebvre’s notion of ‘colonisation’ (which refers to multi-scalar strategies for organising territorial relations of domination) presents a promising opening to understanding the ‘colonial’ aspects of urbanisation today. Still, for this promise to be realised, Lefebvre’s notion must be refracted through dialectical-humanist counter-colonial traditions.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.032
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 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

Citations52
Published2013
Admission routes1
Has abstractyes

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Same venueHistorical MaterialismSame topicFrench Urban and Social StudiesFrench-language works237,207