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Record W4389155453 · doi:10.1017/9781009318518

Formal Models of Crisis Bargaining

2023· book· en· W4389155453 on OpenAlexaboutno aff
William Spaniel

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Key (lock)Quarter (Canadian coin)Political sciencePublic relationsEpistemologyComputer scienceLawHistoryComputer securityPhilosophy

Abstract

fetched live from OpenAlex

Over the last quarter century, crisis bargaining has become the prevailing paradigm for the study of war. This textbook presents a concise and approachable overview of the crisis bargaining literature, surveying the canonical formal models in the bargaining approach to war. It begins by considering different explanations for war, then delves into two classes of explanation: commitment problems and incomplete information. This textbook is essential reading for advanced undergraduates, graduates, and researchers alike. Each chapter delves into a specific part of the puzzle, rigorously unravelling the twisted logic that causes wars to begin. More than seventy illuminating figures illustrate the strategic reasoning outlined and more than 100 exercises of graded levels of difficulty help clarify readers' own understanding of the issues. Online resources include an instructor answer key and numerous engaging video lectures.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.810
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0010.000
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 head0.034
GPT teacher head0.242
Teacher spread0.209 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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