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Record W4361225848 · doi:10.1080/02723638.2023.2192560

“I salute them for their hardwork and contribution”: inclusive urbanism and organizing women recyclers in Ahmedabad, India

2023· article· en· W4361225848 on OpenAlexfundno aff
Josie Wittmer

Bibliographic record

VenueUrban Geography · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersH2020 SocietySocial Sciences and Humanities Research Council of Canada
KeywordsUrbanismCommunity organizingSociologyNew UrbanismEconomic growthGender studiesSocioeconomicsGeographyEconomicsArchitectureArchaeology

Abstract

fetched live from OpenAlex

This paper focuses on the politics of inclusion produced in the roll-out of recent Solid Waste Management (SWM) initiatives seeking to formalize informal recycling labor in India. I contest the notion that formalization is necessarily the antidote to the precarities of informal work by taking seriously the experiences of women recyclers and organizers in responding to exclusions produced in the city of Ahmedabad's increasingly privatized solid waste landscape since the early 2000s. Drawing upon mixed qualitative methods and interviews with women recyclers and organizers, I argue that recent governance initiatives discursively aiming to “integrate” informal recyclers in SWM can paradoxically result in the material exclusion of most workers from opportunities. This paper contributes an articulation of how livelihood opportunities, organizing strategies, and citizenship experiences are always shifting and contingent in relation to local groundings of capitalist and colonial power geometries and dynamics of gendered and casted social differentiation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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 designObservational
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

Citations7
Published2023
Admission routes1
Has abstractyes

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