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Record W4390233372 · doi:10.1007/978-3-031-44584-2_14

Introduction to the Special Section

2023· book-chapter· en· W4390233372 on OpenAlexaboutno aff
Anja Mihr, Chiara Pierobon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean and Russian Geopolitical Military Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsDeclarationPolitical scienceSection (typography)AggressionSpecial sectionLawPsychologyEngineeringSocial psychologyComputer science

Abstract

fetched live from OpenAlex

Abstract In July 2023, the OSCE Parliamentarian Assembly adopted the Vancouver Declaration during its 30th Session, condemning Russia’s aggression and war crimes in Ukraine and calling for an end to the nuclear threat escalation fuelled by Russia’s invasion of and so-called “special military operation” in Ukraine on the 24th of February 2022. Russian parliamentarians did not participate in the Assembly (OSCE 2023). Ever since, this invasion has been declared a violation of international law by the OSCE, UN, and EU, and a “war of aggression against Ukraine” by the ICC. This Special Section is dedicated to the events unfolding since February of 2022 and the responses by different states, organizations, and actors toward these. The following chapters illustrate and represent different views and perspectives on the war, crisis and conflict in Ukraine from across the OSCE region.

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 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.494
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.015

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 head0.027
GPT teacher head0.266
Teacher spread0.239 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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