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Record W4403315603 · doi:10.54094/b-b633284037

The Associational Counter-Revolution: The Spread of Restrictive Civil Society Laws in the World’s Strongest Democratic States [PDF, E-Book]

2022· book· en· W4403315603 on OpenAlexaboutno aff

Bibliographic record

VenueVernon Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyPolitical scienceLawCivil societyPolitical economySociologyPolitics

Abstract

fetched live from OpenAlex

In an increasing number of countries around the globe, representing all regime types, in all regions, with all levels of economic and military strength, civil society’s autonomy from the state, its defining feature, is diminishing. While a variety of tools are used to restrict civil society organizations’ (CSOs) independence from the state, an increasingly popular and dangerously effective vehicle for accomplishing this goal is the law. Through the passage of legislation that imposes new restrictions on the ability of CSOs to operate free from excessive government scrutiny and control, governmental actors are gaining greater control over the non-governmental sector and in ways that benefit from the veneer of legality. Perplexingly, such laws are not only appearing in countries where they might be expected – Azerbaijan, Burundi, China, Egypt, Ethiopia, Russia, Zimbabwe, and countries throughout the Middle East. Indeed, they are increasingly appearing in democratic states too, including strong, fully consolidated democratic states with historically strong and independent civil society sectors: Canada, India, New Zealand, Spain, Israel, Hungary, Poland, and the US, to name just a few. Restrictive CSO laws, which are unsurprising in authoritarian-leaning states, are uniquely puzzling in the context of democratic ones, which have been the primary defenders, funders, and champions of a robust and independent civil society. This book explores this concerning and intriguing phenomenon by documenting its full scope and spread within the world’s strongest democratic states and attempting to explain its occurrence. Using a combination of mixed methods – theory, process tracing, interviews, and statistical analysis – this timely analysis helps to shed light on a global phenomenon that seems to be fueling the democratic backsliding visible in an increasing number of democracies throughout the world. This exploration, which bridges comparative and international law, international relations, democratic theory, and state-civil society relations, attempts to make sense of this global contagion, the closing space phenomenon, which threatens to undermine one of cornerstones of any democracy – a free and independent civil society – in the years and decades ahead.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.609
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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