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Record W2022655529 · doi:10.3928/00989134-20100730-02

Conversations with Holocaust Survivor Residents

2010· article· en· W2022655529 on OpenAlexaff
Sandra P. Hirst, Carole Lynne LeNavenec, Khaldoun Aldiabat

Bibliographic record

VenueJournal of Gerontological Nursing · 2010
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThe HolocaustHolocaust survivorsContext (archaeology)Qualitative researchPsychologyPerceptionGerontological nursingNursingMedicineHistorySociologyPolitical science

Abstract

fetched live from OpenAlex

Traumatic events in one's younger years can have an impact on how an individual copes with later life. One traumatic experience for Jewish individuals was the Holocaust. Some of these people are moving into long-term care facilities. It was within this context that the research question emerged: What are Holocaust survivor residents' perceptions of a life lived as they move into a long-term care facility? For this qualitative study, Holocaust survivors were individually interviewed. Findings emphasize that nursing care needs to ensure that Holocaust survivor residents participate in activities, receive timely health care, and receive recognition of their life experiences.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.378
Teacher spread0.326 · 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 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

Citations4
Published2010
Admission routes1
Has abstractyes

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