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Record W4283318942 · doi:10.32370/ia_2022_06_5

Regional Study of Holocaust

2022· article· en· W4283318942 on OpenAlexvenueno aff
Nadiia Ryzheva, Наталія Василівна Сугацька

Bibliographic record

VenueIntellectual Archive · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThe HolocaustGenocideHistoriographyUkrainianNazismPopulationJudaismPolitical scienceCivilizationHistoryLawSociologyPhilosophyPoliticsDemography

Abstract

fetched live from OpenAlex

An objective study of Holocaust events by Ukrainian scholars is based on the determination of their consequences and lessons of universal significance. The essence of the Nazi genocide against the Jewish population as one of the most shameful phenomena in the history of civilization is clearly crystallized in modern scientific work. Full knowledge of the real events of the Holocaust and awareness of their tragic consequences should serve as a warning and incentive to prevent the revival of such phenomena in the future. In domestic historiography, the analysis of the occupiers' repressive policies aimed at the extermination of the Jewish population during World War II allows us to form a multi-vector view of the recent history of Ukraine and identify the tragic events of the Holocaust by regional realities. The historical and scientific field created in Ukraine about the research has considerable potential for further research in the future.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.078
GPT teacher head0.343
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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