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Record W7055084612

Canadian Confederation andAusgleich: A Comparative Case Study in Imperial Devolution as Imperial Rule and the Effects on National Formation, 1867-1918

2010· dissertation· en· W7055084612 on OpenAlexaboutno aff

Bibliographic record

VenueNDSU Repository (North Dakota State University) · 2010
Typedissertation
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipSuccessor cardinalNational consciousnessDevolution (biology)MonarchyImperial unit systemNational identityHistoriography
DOInot available

Abstract

fetched live from OpenAlex

Scholarly thinking on empires is changing. These scholars see empires as flexible states which are fully capable of meeting the challenges of modernity. This newer line of scholarship challenges the standard narrative of the emergence of nations. Recent scholarship stresses that the history of successor states is not a complete break from the imperial past, but rather that the empires impacted the nature of both the successor states and the nations within. This thesis examines the Confederation of Canada and the Ausgleich, which resulted in the creation of the Dual Monarchy of Austria-Hungary, as successful imperial responses to challenges facing each empire. The subsequent development of national consciousness and national identity among the Canadian and the Hungarian elites emerged as a constituent part of the empire, rather than as a challenge to imperial legitimacy.

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)0.003
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0470.015
Scholarly communication0.0060.002
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.193
Teacher spread0.188 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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