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Deliberative Peace Referendums

2021· book· en· W3158391128 on OpenAlexaff
Ron Levy, Ian O’Flynn, Hoi L. Kong

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Abstract ‘Peace referendums’, which seek to manage armed conflict, are increasingly common around the world. Yet such referendums remain erratic forces—liable as often to aggravate as to resolve tensions. In this book we consider when, despite their risks, referendums can play useful roles amid conflict. We argue that this largely depends on a referendum’s design, including how well it incorporates contemporary lessons from the theory and practice of deliberative democracy. Deliberative democracy seeks to channel disagreement into reasoned forms of decision-making—for instance, by identifying certain ‘public’ values around which disparate groups may find a measure of common ground. As yet, however, few deliberative democracy scholars have advanced arguments for referendums in conflict societies. This is unsurprising: while designing a referendum to be deliberative is a challenge even in the most peaceable of societies, in a conflict society it is harder still. Nevertheless, discounting deliberative institutional schemes because deliberation appears too difficult, and a society too conflictual, overlooks the possibility that some armed conflict can be traced to scarce opportunities to deliberate in the first place. Using a distinctive combination of deliberative democratic and constitutional theory, and also drawing from the field of conflict studies, we develop what we call the Deliberative Peace Referendum—a referendum held under conditions of conflict and designed to be deliberative. This kind of referendum has two broad objectives: to assist a peace settlement to be achieved, and to secure the settlement’s long-term resilience. After scaffolding a tenuous agreement, the referendum may help to concretize an agreement as a durable constitutional settlement by drawing on deliberative democracy’s perceived legitimacy. A Deliberative Peace Referendum thus takes aim at the standard pathologies of referendums—pathologies that must be addressed if referendums are to avoid repeating the problems of peace referendums in the past. Our purpose with this book is to rescue peace referendums from their habitual under-theorization and poor design, and to rehabilitate them as genuine tools of conflict management.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.434
Threshold uncertainty score0.992

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)0.0090.000

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 head0.046
GPT teacher head0.350
Teacher spread0.304 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations22
Published2021
Admission routes1
Has abstractyes

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