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Record W2096965792 · doi:10.5334/bha.15202

C. C. Rafn, J. J. A. Worsaae, Archaeology, History and Danish National Identity in the Schleswig-Holstein Question

2005· article· en· W2096965792 on OpenAlexaff
C. Stephen Briggs

Bibliographic record

VenueBulletin of the History of Archaeology · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsQuest University Canada
FundersSociety of Antiquaries of London
KeywordsDanishNeutralityGermanPopulationTreatyPower (physics)Economic historyHistoryIcelandicGeographyState (computer science)National identityPolitical scienceEthnic groupEthnologyAncient historyLawArchaeologyDemographySociologyPolitics

Abstract

fetched live from OpenAlex

Between 1789 and 1815 Europe was devastated by a series of intermittent Wars waged by the French. The first part came about through the French Revolution, the second, the Napoleonic Wars, were about Bonaparte’s thirst for conquest. Almost at the end of them, Denmark’s attempted neutrality was to cost her the loss of Norway by cessation to Sweden under the Treaty of Kiel in 1814. The Norwegians felt particularly aggrieved by this, a ploy on the part of the British to disarm the Scandinavians and retain British Naval access to the Baltic. Thus began a half a century of particular national insecurity for Denmark, during which she felt under constant threat from German ambition through an increasingly powerful, predatory Prussia. Schleswig-Holstein was particularly at risk of annexation, because though much of Slesvig was culturally and ethnically Danish, southern Jutland had been strongly infiltrated by German influences unchecked for many decades (Sandiford 1975: 21). With a small population (2,225,000 in 1848) and now detached from those potentially sympathetic in Scandinavia, Denmark would have difficulty effectively opposing any major industrial power. Britain and Germany aside, there was also Russia, still largely undeveloped, but a power with strong Baltic interests. Maintaining Denmark’s borders through this delicately balanced neutrality was not going to be easy for such a small nation state. Would it be remotely possible to achieve this passively by developing trade? Could enduring borders otherwise be protected by influencing perceptions of Denmark’s historic cultural identity and ethnicity?

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)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.009
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.230
Teacher spread0.195 · 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

Citations14
Published2005
Admission routes1
Has abstractyes

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