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Record W4387958378 · doi:10.1080/02723638.2023.2257473

Decolonising feminist explorations of urban futures

2023· article· en· W4387958378 on OpenAlexafffund
Elsa Koleth, Linda Peake, Nasya S. Razavi, Grace Adeniyi-Ogunyankin

Bibliographic record

VenueUrban Geography · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsQueen's UniversityYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFutures contractSociologyGender studiesEconomics

Abstract

fetched live from OpenAlex

How do decolonial feminist urban imaginaries of urban futures begin to interrogate twenty-first century urban life?The urban futures signaled in this special issue highlight three dimensions of urban imaginaries.The first connects the privatization and commodification of urban infrastructures to state-based and capitalist discursive efforts to make the urban.The second concerns temporal convergences of past, present and future in visions of the urban that reproduce the recursive logics of coloniality by re-mapping the landscapes of urban inequality and dispossession through encounters with sedimentations of colonial and neocolonial formations.Third, authors take up the everyday as a site of struggle through which women's negotiations and placemaking practices offer alternative urban imaginaries.These articles are based on papers given at the 2019 "Feminist Explorations of Urban Futures" conference organized by the transnational feminist research project, "Urbanization and Gender in the Global South: A Transformative Knowledge Network" (GenUrb).

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)0.007
metaresearch head score (Gemma)0.005
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 score0.012
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.061
Scholarly communication0.0120.013
Open science0.0010.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.290
Teacher spread0.266 · 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

Citations13
Published2023
Admission routes2
Has abstractyes

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