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Re-engaging Citizens in Europe and North America

2021· book-chapter· en· W4205183545 on OpenAlexaboutno aff
Brian Wampler, Stephanie McNulty, Michael Touchton

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceDemocracyEmpowermentMandateRedistribution (election)Government (linguistics)Public administrationPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract The spread of PB in the North Atlantic region (Europe, the United States, and Canada) is taking place as citizen apathy, declining trust, social exclusion, and growing inequalities spread in these wealthier democracies. By 2016, major cities such as New York City, Paris, Madrid, Barcelona, Lisbon, Chicago, Boston, Seattle, Toronto, and Seville adopted some form of PB. The national governments in Poland and Portugal now mandate some form of PB. The authors see significant institutional innovation in these PB processes as PB’s original rules have been reimagined to address different types of problems. New York City and Chicago initiated their PB programs at sub-municipal levels. Paris, Madrid, and Barcelona had adapted their PB programs to strongly emphasize online participation. At the broadest level, PB in Europe and North America is more heavily geared toward civic education and community empowerment than toward the redistribution of spending priorities. In some place PB remains a democratic institution that retains some of the radical features of the first wave but it is also a policymaking tool in other places, designed to generate government efficiencies. Most importantly, most programs retain the radical idea that a wide variety of citizens, especially those from politically weaker and more marginalized groups, should be directly involved in decision-making.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.045
GPT teacher head0.292
Teacher spread0.247 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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