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Report on the international conference “The War That Never Ended. Postwar Continuity and New Challenges in the Aftermath of the Habsburg and Ottoman Empires, 1918–1923”, Kraków –Przemyśl, 24–26 October 2019.

2020· article· en· W3133658240 on OpenAlexaboutno aff
Tomasz Pudłocki

Bibliographic record

VenueStudia Historiae Scientiarum · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyMonarchyPoliticsDeclarationAncient historyEconomic historyHistoryPolitical scienceOttoman empireEthnic groupPeriod (music)EmpireEconomyLawArt

Abstract

fetched live from OpenAlex

International Conference “The War That Never Ended. Postwar Continuity and New Challenges in the Aftermath of the Habsburg and Ottoman Empires, 1918–1923”, organized on 24–26 October 2019 in Krakow and Przemyśl, it was an excellent opportunity to discuss the phenomenon of key years 1918–1923 in the history of countries that arose from the ruins of the Habsburg Monarchy and the Ottoman Empire. The truce in Compiegne (11.11.1918), as has been proven many times in historiography, had only symbolic significance for Central and Eastern and Southeastern Europe and did not bring decisive decisions for the region. This area became a place of numerous conflicts over borders, ethnic and social friction, resettlement of people, the involvement of intellectuals in politics or even violence aimed at physical elimination of entire groups and communities. It turns out that the new nation-states in this formation period strongly benefited from the imperial heritage of their predecessors, despite the declaration of paving new roads. The conference gathered almost 40 speakers from many European countries as well as from Canada and the United States of America.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0510.011

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 head0.103
GPT teacher head0.286
Teacher spread0.183 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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