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Record W1874800274

Between Art and Testimony: Transforming Oral Histories of Holocaust Survivors into Young Adult Fiction and Creative Non-Fiction

2012· article· en· W1874800274 on OpenAlexaff
Karen A. Krasny

Bibliographic record

VenueYork University Digital Library (York University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsYork University
Fundersnot available
KeywordsThe HolocaustWitnessConsolationNarrativeResistance (ecology)Oral historySociologyLiteratureAestheticsHistoryArtAnthropologyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Works of historical fiction and creative non-fiction written about the Holocaust continue to occupy an important place in both the literary and history curricula in K to 12 schools. In discussion with author Kathy Kacer, I describe the particular challenges of transforming oral testimonies of Holocaust survivors into young adult (YA) narratives including the ways in which these narratives are mitigated by the adult desire to educate and protect and by the undeniable influence of the publication of the diary of Anne Frank. By taking up the problem of bearing literary witness as a mode of pedagogical address through Spargo’s notion of vigilant memory and his reformulation of Levinasian ethics into terms of mourning, I demonstrate how oral histories directly or indirectly embedded in YA Holocaust narratives, might address the epistemological consequences of the Holocaust, specifically for invoking an ethical and social responsibility for the other through a resistance to consolation as a conventional form of commemoration.

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)0.005
metaresearch head score (Gemma)0.016
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 score0.008
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.014
Scholarly communication0.0080.006
Open science0.0010.012
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.033
GPT teacher head0.237
Teacher spread0.205 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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