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Record W2589179404 · doi:10.1017/s0003055416000605

A Problem-Based Approach to Democratic Theory

2017· article· en· W2589179404 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Political Science Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDemocracySophisticationSketchDeliberationIdeal (ethics)VotingDeliberative democracyDemocratic theoryPolitical sciencePoliticsPositive economicsSociologyEpistemologyPolycentricityPower (physics)Law and economicsEconomicsSocial scienceComputer scienceLawManagement

Abstract

fetched live from OpenAlex

Over the last few decades, democratic theory has grown dramatically in its power and sophistication, fueled by debates among models of democracy. But these debates are increasingly unproductive. Model-based strategies encourage theorists to overgeneralize the place and functions of ideal typical features of democracy, such as deliberation or elections. Here I sketch an alternative strategy based on the question: What kinds of problems does a political system need to solve to count as “democratic”? I suggest three general kinds: it should empower inclusions, form collective agendas and wills, and have capacities to make collective decisions. We can view common practices such as voting and deliberating as means for addressing these problems, and theorize institutional mixes of practices that would maximize a political system's democratic problem-solving capacities. The resulting theories will be both normatively robust and sufficiently fine-grained to frame democratic problems, possibilities, and deficits in complex polities.

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.

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)0.006
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.017
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.078
GPT teacher head0.421
Teacher spread0.344 · 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