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The Atlantic Revolutions in the German Lands, 1776–1849

2012· book· en· W2622705368 on OpenAlexaboutno aff
Jonathan Sperber

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsGermanPoliticsQuarter (Canadian coin)Atlantic WorldEconomic historyPolitical scienceHistoryCultural revolutionEconomyPolitical economyAncient historyArchaeologyLawSociologyEconomics

Abstract

fetched live from OpenAlex

The Atlantic Revolutions in the German lands is the essence of this article. A discussion of the Atlantic revolutions in the German lands begins here with a consideration of the connections between those lands and the Atlantic world. On the eve of the age of revolution, these connections were modest, at best. The German lands had few direct ties to the Atlantic economy; social and cultural connections were sparse as well. New forms of political organization and action, as well as new ideas about the nature of politics were developing in some of the Atlantic countries during the third quarter of the eighteenth century, all of which would resulted in the revolutions of 1776 and 1789. What this discussion suggests is that the external political and intellectual impulses of the American Revolution were, at best, supplemental to trends generated within the German lands themselves. An observation of the political upheavals during the nineteenth century winds up this article.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.260
Teacher spread0.235 · 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
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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