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Record W4405098747 · doi:10.22215/etd/2024-16331

Partisans, Plutonium, and the Polygon: The Domestic and Global Impact of the Nevada-Semipalatinsk Movement

2024· dissertation· en· W4405098747 on OpenAlexfundno aff
Nicholas Matthew Morrison

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiplomacyPolitical scienceKazakhIntelligentsiaPoliticsPeriod (music)Cold warPolitical economyEconomic historyHistoryLawSociology

Abstract

fetched live from OpenAlex

This thesis is about the Nevada-Semipalatinsk Movement (NSM), an anti-nuclear environmental movement that formed in Kazakhstan at the height of perestroika in 1989.It argues that the NSM had a notable impact on local and global politics.This thesis demonstrates that the NSM tapped into concerns about pollution that had existed among the Kazakh intelligentsia and ordinary citizens since the Brezhnev years.It shows how the NSM emerged in a period of heightened political and environmental tension.This thesis highlights how the organization was driven by nationalistic ideas and concerns about health and environmental sustainability.It traces the organization's activities in Kazakhstan into the post-Soviet period.On a global scale, this thesis discusses the movement's links to "citizen diplomacy" at the end of the Cold War.Analyzing the relationship between American and Soviet-Kazakh activists, this thesis reveals that citizen diplomacy was a complex and long-lasting phenomenon.provided me with the support for this project's realization.I would also like to thank the members

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.003
GPT teacher head0.234
Teacher spread0.230 · 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
Published2024
Admission routes1
Has abstractyes

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