MétaCan
Menu
Back to cohort
Record W4415067506 · doi:10.1080/02634937.2025.2542266

Monotown futures: toxic waste, civic protest and governance struggles in Stepnogorsk, Kazakhstan

2025· article· en· W4415067506 on OpenAlexfundno aff
Robert Kopack

Bibliographic record

VenueCentral Asian Survey · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersNational Science Foundation of Sri LankaUniversity of TorontoAmerican Association of Geographers
KeywordsCorporate governanceGovernment (linguistics)Civil societyDemocracy

Abstract

fetched live from OpenAlex

In early June 2020, a few residents of Stepnogorsk learned of a clandestine, state-initiated plan to import toxic PCBs (polychlorinated biphenols) into the city for storage and eventual disposal by a local firm. Alarmed by later news that an incinerator for that waste, among additional waste from throughout Kazakhstan, would be built in ‘their’ city, grass-roots activists organized through social media, door-to-door petitioning and public demonstrations to halt the operation. This public act of refusal gained much media attention for the former Soviet secret city, well known for its uranium mines and myriad environmental issues associated with decades of extraction and waste storage. Rather than opposing industrial development championed through their pro-growth city leadership outright, demonstrators expressed a moral demand for transparency and civic respect without rejecting industrial life, what I describe as aspirational pragmatism. This form of hopeful accountability is a civic position grounded in historical dependencies on state and industry, shaped by post-Soviet economic decline and ongoing toxic exposure, revealing how residents of marginalized industrial cities negotiate survival, recognition and dignity amid environmental harm.

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)0.000
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 score0.253
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.196
Teacher spread0.190 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCentral Asian SurveySame topicMining and Resource ManagementFrench-language works237,207