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Record W1987774380 · doi:10.2190/u6pu-72xa-7190-9kct

Erikson's “Components of a Healthy Personality” among Holocaust Survivors Immediately and 40 Years after the War

2005· article· en· W1987774380 on OpenAlexaff
Peter Suedfeld, Erin Soriano, Donna Louise McMurtry, Helen M. Paterson, Tara L. Weiszbeck, Robert Krell

Bibliographic record

VenueThe International Journal of Aging and Human Development · 2005
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsErikson's stages of psychosocial developmentPsychosocialPsychologyHolocaust survivorsPersonalityThematic analysisDevelopmental psychologyThe HolocaustClinical psychologyPersonality developmentPsychoanalysisPsychiatryQualitative research

Abstract

fetched live from OpenAlex

This study assessed the degree to which Holocaust survivors have dealt successfully with the eight psychosocial crises thought by Erikson (1959) to mark important stages in life-span development. In Study 1, 50 autobiographical interviews of survivors videotaped 30-50 years after the war were subjected to thematic content analysis. Relevant passages were coded as representing either a favorable or an unfavorable outcome as defined by Erikson. Survivors described significantly more favorable than unfavorable outcomes for seven of the crises; the exception was Trust vs. Mistrust. In Study 2, audiotaped Holocaust survivor interviews conducted in 1946 were scored in the same way and compared with the results of Study 1. There were several significant differences as well as similarities between the two data sets, the later interviews mostly showing changes in the positive direction.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.028
GPT teacher head0.311
Teacher spread0.283 · 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 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

Citations51
Published2005
Admission routes1
Has abstractyes

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