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Record W2945803091 · doi:10.1111/rego.12238

Why do junctures become critical? Political discourse, agency, and joint belief shifts in comparative perspective

2019· article· en· W2945803091 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRegulation & Governance · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsYork University
Fundersnot available
KeywordsJunctureDivergence (linguistics)Agency (philosophy)PoliticsStructure and agencyArgument (complex analysis)Perspective (graphical)TRACE (psycholinguistics)Political scienceCritical discourse analysisPositive economicsSociologyEpistemologyPolitical economySocial scienceLinguisticsLawEconomics

Abstract

fetched live from OpenAlex

Abstract Why do junctures become critical in some cases but not in others? Building on the critical juncture framework and perspectives on the formation and diffusion of beliefs, we develop a theoretically parsimonious and empirically traceable account of divergence in institutional outcomes. By illuminating the role of agency and joint belief shifts we further open the “black box” of critical junctures. In particular, we develop the argument that the role agents play is conditioned by conflict lines that structure an institutional field before a juncture sets in. Empirically, we trace political discourses around the 2011 Fukushima nuclear accident in Canada, Germany, and Japan using discourse network analysis. Through comparative investigation, we empirically show that discursive interactions during potential critical junctures indicate institutional outcomes that are shaped by causally relevant historical legacies.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.985

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 head0.044
GPT teacher head0.379
Teacher spread0.334 · 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