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International Relations Theory and the Practice of International History

2023· book-chapter· en· W4385970973 on OpenAlexaff
Peter Jackson, Talbot Imlay

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversité Laval
FundersArts and Humanities Research Council
KeywordsFraming (construction)DisciplineInternational relationsModernityInternational relations theoryEpistemologyConvergence (economics)Political scienceSocial scienceSociologyHistoryLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

Abstract In recent years the field of International Relations (IR) has been enriched by an ‘historical turn’ as scholars have directed their attention to the origins of the discipline. During the same period a number of scholars of International History (IH) have borrowed concepts from IR theory in order to provide new perspectives on subjects such as great power relations in the era of the French Revolution or the origins of the Second World War. These trends have led to the suggestion that we are witnessing a new and exciting convergence of research in these two fields. The chapter shows that the early relationship between the emerging fields of IH and IR was characterized by remarkable convergence. After 1945, however, the two fields diverged as IR evolved into a distinct and self-confident discipline and IH focused increasingly on the origins of world wars. Many of the reasons for this divergence can be understood in terms of this Handbook’s two framing themes: modernity and granularity. Enduring challenges remain to systematic inter-disciplinary collaboration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0050.050
Scholarly communication0.0110.010
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.030
GPT teacher head0.245
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2023
Admission routes1
Has abstractyes

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