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Record W2021551002 · doi:10.1080/14725886.2014.951536

THE ABSENT JEWISH CHILD: PHOTOGRAPHY AND HOLOCAUST REPRESENTATION IN POLAND

2014· article· en· W2021551002 on OpenAlexaff
Ewa Stańczyk

Bibliographic record

VenueJournal of Modern Jewish Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPolish-Jewish Holocaust Memory Studies
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsThe HolocaustJudaismJewish identityRepresentation (politics)PhotographySociologyHistoryVisual artsPoliticsMedia studiesArtLawPolitical science

Abstract

fetched live from OpenAlex

This article considers the representations of Holocaust in Poland by discussing the ways in which photographs of Jewish children are used in literature, film and public commemoration. It shows how a “postmemorial reading” of these images by, predominantly gentile, writers, directors and social actors might be viewed as an attempt to rhetorically fill the void left after the destruction of Poland's Jewish community and to project an image of a tolerant civic society. The article examines famous images, like the photo of the Warsaw Ghetto boy, with which this discussion begins, and lesser known pictures, such as the family photographs of Henio Żytomirski from Lublin, which are examined towards the end of this article. While looking at these images, I reflect on the interaction between the visual representations of Jewish children, the memory of the Shoah in Poland and the fashioning of Polish national identity in the wake of the accession to European Union.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.284
Teacher spread0.241 · 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 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

Citations9
Published2014
Admission routes1
Has abstractyes

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