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Record W2560185213 · doi:10.1093/geront/gnw131

Why Do Holocaust Survivors Remember What They Remember?

2016· article· en· W2560185213 on OpenAlexafffund
Sarah L. Canham, Hagit Peres, Norm O’Rourke, David B. King, Annette Wertman, Sara Carmel, Yaacov G. Bachner

Bibliographic record

VenueThe Gerontologist · 2016
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsThe HolocaustHolocaust survivorsPsychologyPsychoanalysisHistoryPhilosophyTheology

Abstract

fetched live from OpenAlex

Purpose of the Study: The ability to integrate traumatic memories into a coherent life narrative is one factor associated with the mental health and well-being of Holocaust survivors. In the present study, reminiscences reported by survivors in Israel were collected to identify themes arising in positive and negative memories and experience. Design and Methods: Participants (M = 80.4 years; SD = 6.87) were asked to describe memories that typify a reminiscence function in which they frequently or very frequently engage. Open-ended responses were collected from 269 Holocaust survivors and thematic analyses were conducted in English (translated) and Hebrew. Results: Thematic analyses of these data suggest three overarching themes related to bridging the past and present, rebuilding families and the Jewish state, and the duty to share. These suggest how integral endurance, survival, and resilience were to participants during the war and how these themes defined their choices and understanding of their lives. Implications: The results of this study demonstrate how reminiscence serves many functions. Participants appear to have integrated memories of horror and loss as part of coherent life narratives. Resilience and memory are ongoing and intertwined processes whereby survivors juxtapose their early lives to the present.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.004

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 head0.053
GPT teacher head0.330
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations12
Published2016
Admission routes2
Has abstractyes

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