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Record W2284476313 · doi:10.1017/cbo9781139540964.013

Is nationalism the cause or consequence of the end of empire?

2013· book-chapter· en· W2284476313 on OpenAlex
Wesley Hiers, Andreas Wimmer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsEmpireNationalismState (computer science)HistoryPolitical economyPolitical scienceEconomic historyGeographyAncient historySociologyLawPoliticsComputer science

Abstract

fetched live from OpenAlex

This chapter addresses the question of whether and to what degree nationalism was the cause or the consequence of imperial collapse. We go about this task in four steps. The first three steps use quantitative data that cover most of the world since 1816. In the first step, we simply analyze the temporal relationship between the transition from empire to nation-state and the foundation of nationalist organizations. We find that in the overwhelming majority, the latter precedes the former. We then proceed to a more fine-grained analysis and ask whether these nationalist organizations were perhaps inspired by imperial retreat from other parts of the empire, such that a partial imperial breakdown would further fuel the flames of nationalism elsewhere. No such effect emerges, however. In the third step, we determine whether nationalist mobilization is a cause for the individual transitions from empire to nation-state observed in the history of today's countries and find this to be the case, even if we take a host of other factors into account (including the weakening of empire through wars).

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.981
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 studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.068
GPT teacher head0.272
Teacher spread0.204 · 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