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Record W2460836989 · doi:10.1017/s0067237816000084

Liberalism at High Latitudes: The Politics of Polar Exploration in the Habsburg Monarchy

2016· article· en· W2460836989 on OpenAlexaboutno aff
Stephen Walsh

Bibliographic record

VenueAustrian History Yearbook · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsMultitudeMonarchyPoliticsDemocracyQuarter (Canadian coin)Ancient historyPopulationHistoryGermanBattleEconomic historyLawPolitical scienceArchaeologySociologyDemography

Abstract

fetched live from OpenAlex

I n the autumn of 1874 , Austrian popular society seemed ablaze with talk of ice. The Habsburg monarchy's first major polar expedition was returning, and, as the German geographer August Petermann put it, “No field commander, returning home with his army victorious from battle, could be received more magnificently and enthusiastically than this small band of twenty- two men.” The first published narrative of the expedition was released in Vienna around 24 September and had sold out of its print run of forty-five thousand copies by 27 September. This figure, however, is dwarfed by contemporary estimates of the multitude that turned up to welcome the explorers to Vienna on 25 September: around a quarter million, or approximately one-fourth of the city's entire population. Although such figures should be taken with a grain of salt, the festivities that greeted the explorers involved possibly the largest crowds seen on the streets of Vienna between the revolutions of 1848–49 and the mass marches of the Social Democratic Party in support of universal male suffrage around the turn of the century.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.235
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2016
Admission routes1
Has abstractyes

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