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Record W7050387499

[no title]

2023· other· en· W7050387499 on OpenAlexfundno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersCentral European UniversityNarodowym Centrum NaukiUniversität WienSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of StirlingEuropean CommissionCentre National de la Recherche ScientifiqueUniversity of OxfordLeverhulme TrustDartmouth CollegeYork UniversityUniversity of TorontoRoyal Irish AcademyLondon School of Economics and Political ScienceGerman Historical InstitutePrinceton UniversityUniversity of CambridgeNational Science FoundationYale UniversityUniversity of ChicagoUniversity of LimerickHarvard University
KeywordsNationalismContext (archaeology)World historyFoundation (evidence)Human rightsInterwar period
DOInot available

Abstract

fetched live from OpenAlex

Interwar European minority questions have been predominantly discussed in the context of Eastern Europe until now. This open access book challenges that geographical emphasis by examining both Eastern and Western European experiences. It thus lays the foundation for a new comparative international history of the relations between national majorities and minorities in Europe after the Great War. Building on the assumption that nationalist conflicts are based on dynamic interactions between multiple actors, this book brings together different perspectives and methodological approaches (political, social and transnational) to provide a comprehensive account of minority questions between the two World Wars. With contributions from leading academics and emerging scholars based in Austria, Ireland, Poland, Spain, Switzerland, the UK and the USA among others, Sovereignty, Nationalism, and the Quest for Homogeneity in Interwar Europe is a wide-ranging study which is firmly anchored in the history of the transition from empires to nation-states as well as in the history of human rights and the nation-state. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by the Swiss National Science Foundation (SNSF).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.003
Open science0.0050.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0380.002

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 head0.079
GPT teacher head0.394
Teacher spread0.315 · 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
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
Published2023
Admission routes1
Has abstractyes

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