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Record W7161780459 · doi:10.82308/782

Present past: resilience and remembering in the individual and collective memories of elderly poles who survived the gulags as children

2016· dissertation· en· W7161780459 on OpenAlexaboutno aff
Amanda Chalupa

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological resilienceRefugeeContext (archaeology)Collective memoryDiversity (politics)ImmigrationNarrativeQualitative researchLife course approach

Abstract

fetched live from OpenAlex

Following immigration and trauma experiences, memory, adjustment, and personal transformation prove to be complex processes across the lifespan. The overall aim of this thesis is to examine how elderly Polish individuals who experienced childhood trauma reflect on their lives and remember both their life experiences and their migration trajectories. During WWII, after having been exiled from their homes at the onset of war to Soviet labour camps (gulags), Polish children and youth spent several years in international refugee camps beginning in 1942 before settling, often very successfully, in Canada or New Zealand. The first study focuses on the individual and collective memories of those who were in African refugee camps (the "Africans", or "Afrykanczycy"), through the content analysis of individual interviews (N=10) and collective reunion materials, respectively. Individual memories reveal a diversity of lived experiences in the camps, while the collective memories emphasize timeless friendships in an idealized past. The second study looks to the publicly available testimonials (N=51) of those who were New Zealand's first refugees. Evidence of posttraumatic growth presents itself as changes in relationships and changes in self, in the context of a welcoming and supportive society. Taken together, these studies of a common trauma and migration experience, as expressed through various lenses, provide representations of subjective experiences and recollections in late life, which is helpful for understanding the resiliency process. They inform our understanding of memory processes following migration and trauma, the use of qualitative life trajectory research as a tool for longitudinal studies, and what may help or hinder well-being across the lifespan.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.692

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.309
Teacher spread0.292 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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