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Record W4416945638 · doi:10.4324/9781003638131-5

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

2025· book-chapter· en· W4416945638 on OpenAlexfundno aff
Josie Wittmer

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCONTESTArticulation (sociology)LivelihoodCitizenshipGovernmentalityInformal sectorWork (physics)Corporate governanceUrbanismPoliticsPower (physics)

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;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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.027
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0150.016
Scholarly communication0.0080.003
Open science0.0010.007
Research integrity0.0010.002
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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