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Record W3169183499 · doi:10.7862/rz.2021.hss.09

THE AID OFFERED TO POLISH CITIZENS OF JEWISH ORIGIN IN THE FAR EAST IN THE YEARS 1940–1941

2021· article· en· W3169183499 on OpenAlexaboutno aff
Beata Szubtarska

Bibliographic record

VenueHumanities and Social Sciences quarterly · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismPolitical scienceFar EastAncient historyHistoryLawArchaeology

Abstract

fetched live from OpenAlex

This article presents the activities of Polish organizations, especially the Polish Committee for Aid to the Victims of War, operating in the Far East during the Second World War.Its main concern is with efforts undertaken in support of Polish citizens of Jewish origin who embarked on a long journey outside Europe in search of refuge from the war.The basic research method adopted in the preparation of this article was the analysis of documents and reports left by the Committee.From the research conducted, I found out how over two thousand people-Polish citizens of Jewish origin-received help.Thanks to the commitment and devotion not only of members of the Committee mentioned above but also of the Polish diaspora and the Polish Embassy in Tokyo, over two thousand Polish refugees found shelter in Japan and then, after obtaining exit visas, traveled further to Canada, Palestine, Australia, Burma, New Zealand, South Africa, the United States of America, South America, or Shanghai.The Committee also provided them with material aid.The help and support they received allowed them to reach a place of safety away from the war and start afresh.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.087
GPT teacher head0.304
Teacher spread0.217 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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