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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 OpenAlexaff
Wesley Hiers, Andreas Wimmer

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). In the fourth and most important step, we go beyond these coarse quantitative analyses and shift to empires as units of analysis, asking to what degree nationalism caused imperial collapse. Discussing the demise of the Ottoman, Habsburg, French, British, Portuguese and Soviet empires, we assess the varying degrees to which nationalist movements contributed to each imperial collapse and the extent to which each transition was due to other, unrelated factors, including the voluntary retreat of empire or the breakdown of empire due to defeat in international wars. We find that in all cases of imperial collapse nationalist movements played an important, and sometimes, crucial role (for the opposing view, see Betts 1991; Burbank and Cooper 2010; Flint 1983; Sked 2001; Solnick 1998). There is little evidence – with a handful of exceptions such as the Central Asian republics and some African countries – for the idea that imperial breakdown produces nationalist movements or nation-states without a previous agitation for them.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.011
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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

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 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

Citations39
Published2013
Admission routes1
Has abstractyes

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