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Politics or Policy? How Rhetoric Matters to Presidential Leadership of Congress

2012· article· en· W2133804459 on OpenAlex
José D. Villalobos, Justin S. Vaughn, Julia R. Azari

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

VenuePresidential Studies Quarterly · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsPresidential systemLegislaturePolitical scienceLegislationAppealPoliticsPublic administrationAgency (philosophy)RhetoricLawSociologySocial science

Abstract

fetched live from OpenAlex

In this article, we examine the linkage between presidential policy proposal messages and legislative success. Employing a data set on presidential legislative proposals that covers the years 1949‐2010, we find that politics matters less than policy. Purely political messages that reference the electoral logic of mandates or appeal to a sense of bipartisanship appear to have no impact on presidential legislative success, nor does policy signaling, though highlighting the role of agency‐based policy experts in crafting legislation does. From these results, we conclude that although the way presidents communicate their messages to Congress represents an important component of presidential‐legislative relations, it is instead the perceived quality of the legislation that more strongly shapes congressional support of presidential policy efforts.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.178
GPT teacher head0.414
Teacher spread0.236 · 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