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Record W4400217467 · doi:10.1080/09557571.2024.2368418

Stories of world Politics: Between History and Fiction

2024· article· en· W4400217467 on OpenAlexaff
Niyousha Bastani, Italo Brandimarte

Bibliographic record

VenueCambridge Review of International Affairs · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsPolitical scienceHistoryLiteratureMedia studiesPolitical economyArtSociologyLaw

Abstract

fetched live from OpenAlex

The discipline of International Relations is defined by a fundamental tension between history and fiction. On the one hand, historical approaches are crucial in tracing the origins of international order, contextualising key concepts, and uncovering marginalised voices. On the other, the discipline is invariably caught in its own mythologies, which shape what is “real” and “true” in global politics. Instead of treating the ambiguous distinctions between history and fiction as problems to be definitively resolved, this Special Issue takes up these tensions as generative for understanding, manoeuvring, and even disrupting and (re)imagining the field of IR. Examining these dynamics from several perspectives – from the writing of history to the political force of fictional imaginaries – the articles in this Issue show that the relation between history and fiction is a constitutive force of the international, in both theory and practice. Bringing together historical and critical perspectives, the Issue elucidates how ideas of history and fiction, reality and storytelling, facticity and imagination shape and are in turn shaped by world politics. Historical approaches to IR, we argue, can do much more than adjudicate between these amorphous categories. Here, we pursue the possibilities.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.535

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 head0.039
GPT teacher head0.265
Teacher spread0.226 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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