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Record W4328124018 · doi:10.3390/histories3010005

Religion and Diplomacy: The ‘Clash of Civilizations’ as Historical Libel

2023· article· en· W4328124018 on OpenAlexaff
Robert A. Denemark, Matthew J. Hoffmann, Hasan Yönten

Bibliographic record

VenueHistories · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolityDiplomacyFaithSovereigntyPolitical scienceLawPoliticsMythologyState (computer science)Cold warSociologyPhilosophyEpistemologyTheology

Abstract

fetched live from OpenAlex

The ‘Clash of Civilizations’ hypothesis suggested that global politics would revert to inter-civilizational (inter-religious) conflict with the end of the Cold War. Conceptual and empirical refutations followed, but the idea that pre-Cold War inter-polity interaction was generally characterized by such conflict was not addressed. We consider this a possible historical libel. First, we briefly review the position of major faith traditions toward making and keeping agreements with those of other faith traditions. Most forms of agreements are sanctioned, and there is inconsistent and minimal support for duplicity. Second, using the MATRS database of multilateral treaties, we identify 79 sovereign entities active between 1750 and 1900 (when multilateral treaties were numerous and official state religions were prominent), link states to their official religions, and analyze the pattern of 385 multilateral treaties’ signings. We conclude that there is no tendency among states with one official religion to avoid entering into treaties with those of other official religions. The ‘Clash of Civilizations’ hypothesis is a historical myth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.682
Threshold uncertainty score0.564

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 studies0.0010.000
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 head0.024
GPT teacher head0.325
Teacher spread0.301 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

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