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Record W2089492664 · doi:10.1017/s0008423905050079

Bureaucrats and Revolutionary State-Building in Ireland and Russia. Was Weber Right?

2005· article· en· W2089492664 on OpenAlexaff
Stephen Velychenko

Bibliographic record

VenueCanadian Journal of Political Science · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNationalismHumanitiesPolitical scienceState (computer science)PoliticsSociologyPhilosophyLawMathematics

Abstract

fetched live from OpenAlex

Abstract.Weber argued that bureaucrats serve whoever holds power even in the case of revolution or enemy occupation because they are more concerned with their jobs, salaries and pensions than with political ideas. His hypothesis has yet to be satisfactorily tested, however, and any such project would have to include all states that emerged from revolutions. As a contribution towards such an examination this paper reviews state building in nationalist Ireland and Bolshevik Russia to determine whether the behaviour of old-regime administrators in those countries proves or disproves Weber's claim. Résumé.Weber avançait que les bureaucrates servent quiconque est au pouvoir, même en cas de révolution ou d'occupation ennemie, parce qu'ils se soucient davantage de leurs emplois, de leurs salaires et de leurs pensions que d'idées politiques. Son hypothèse n'a cependant jamais été testée de manière satisfaisante et tout projet de ce genre devrait nécessairement inclure tous les États qui sont issus de révolutions. En guise de contribution à un tel examen, cet article examine la création de l'État dans l'Irlande nationaliste et la Russie bolchévique pour déterminer si le comportement des fonctionnaires de l'ancien régime de ces pays confirme ou réfute l'allégation de Weber.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.292
Teacher spread0.281 · 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 designQualitative
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

Citations20
Published2005
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Political ScienceSame topicTurkey's Politics and SocietyFrench-language works237,207