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Record W2787884338

Sparks of Light: Survivor Narratives Reflected Through the Lens of Irving Greenberg’s Theology

2018· dissertation· en· W2787884338 on OpenAlexaboutno aff
Belle Jarniewski

Bibliographic record

VenueWinnSpace (University of Winnipeg) · 2018
Typedissertation
Languageen
FieldArts and Humanities
TopicDiverse Philosophical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeTheologyLens (geology)PsychoanalysisArtPsychologyOpticsPhysicsPhilosophyLiterature
DOInot available

Abstract

fetched live from OpenAlex

In the future, when no first-person witnesses to the Shoah are left to tell their stories, we will be left with their written, audio, and video narratives. Those who will be left to bear witness for them can tell their stories from a purely historical viewpoint. However, this thesis adds a new option — a theological dimension through which to read and further appreciate their stories. It argues that the theology of Irving Greenberg is well suited to express the theology implicit in the lives of many Shoah survivors, providing an opportunity to reflect theologically on their experiences both during and after the Shoah. The thesis explores Greenberg’s distinct postwar model that expresses concern for the theological and socio-political implications of the Shoah, addressing themes of morality, faith, religion and interfaith dialogue. The second part of the thesis examines the narratives of three Canadian Shoah survivors through the lens of Greenberg’s theology. The first, Stefan Carter, is a secular Jew who survived the Warsaw Ghetto and makes his home in Winnipeg. The second, Pinchas Gutter, is a Majdanek/Buchenwald survivor who was from a family of Ger Hasidim. Gutter lives in Toronto and has become well known due to his participation in cutting-edge exhibits and videos. The third, Robbie “Romek” Waisman, is a Buchenwald survivor, lives in Vancouver and is an Honorary Witness to the Truth and Reconciliation Commission of Canada.

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)0.000
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: none
Teacher disagreement score0.483
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.229
Teacher spread0.187 · 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
Published2018
Admission routes1
Has abstractyes

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