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Record W2154851824 · doi:10.1017/s0020818307070026

Argumentation and Compromise: Ireland's Selection of the Territorial Status Quo Norm

2007· article· en· W2154851824 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Organization · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
FundersUniversity of TorontoOhio State University
KeywordsArgumentation theoryCompromiseNormativeStatus quoNorm (philosophy)EpistemologySelection (genetic algorithm)SociologyPolitical scienceLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

How do states come to select norms? I contend that, given a number of conditions are present, states select norms in three ideal-typical stages: innovative argumentation, persuasive argumentation, and compromise+ This norm selection mechanism departs from the existing literature in two important ways+ First, my research elaborates on the literature on advocacy networks+ I explain why agents engage in an advocacy for a normative idea in the first place; I add the epistemic dimension of reasoning to argumentation theory; and I show in detail the pathways through which persuasive argumentation links an advocated idea and alreadyestablished sets of meaning+ Second, synthesizing rationalist and constructivist selection mechanisms, I contend that successful argumentation makes recalcitrant actors eager to reach a compromise with the advocates as long as this does not violate their most cherished beliefs+ The Republic of Ireland's eventual selection of the territorial status quo norm in the late 1990s lends empirical evidence to this norm selection mechanism+ This study addresses two pervasive aspects of the social world: argumentation and compromise+ Drawing on taken-for-granted ideas that enable us to make the world intelligible to ourselves, we make and exchange arguments to make up our minds about a particular issue and to persuade others to follow our reasoning+ Some arguments convince us+ We are persuaded by the line of reasoning that the argumentation contains+ Other arguments, by contrast, are unconvincing+ Of these unconvincing arguments, some violate our most deeply held beliefs+ They upset us and we reject them categorically+ Others, by contrast, do not violate our most profound beliefs+ We discard them with less vigor and are prepared to compromise on our stance+

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.195

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 head0.008
GPT teacher head0.279
Teacher spread0.271 · 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