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Record W7061767473

Resilience and Shadow of Collective Trauma: The Mennonites??? Great Traumatic Trek to Canada

2019· article· en· W7061767473 on OpenAlexaboutno aff

Bibliographic record

VenueJohn Spoor Broome Library Institutional Repository (California State University) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirContext (archaeology)Psychological resilienceShadow (psychology)Historical traumaCollective memoryBiopsychosocial modelGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Mennonites living in Russia at the start of the Bolshevik Revolution in 1917 \nentered into a climate of almost relentless violence. Mennonites are a Protestant group that formed during the 16th century Reformation. Long-term psychological implications \nof these events continue for remaining survivors and their offspring to this day. In this \nstudy, four memoirs of Mennonite survivors were analyzed to learn how traumatic \nexperiences were narrated in their lifetime. A literature review explored features \nassociated with individual and collective experiences of trauma. Placing each writer into \ntheir shared historical context was presented to understand both collective and unique \nfeatures of their experiences. Common themes that emerged in the memoirs demonstrated \nboth resilience and challenges in expressing emotions, facing physical challenges, \nprocessing transitions, and coping. Lastly, differing experiences with attachment were \ndiscovered for each writer and inferences were drawn to the intergenerational \ntransmission of trauma. The findings of this study can speak to how social workers may \ncontextualize trauma with biopsychosocial intakes that are broad in scope. Therapeutic \ninterventions were presented that take collective features of trauma into consideration \ninstead of solely individualizing trauma outcomes. Macro-level social work practice with \ngeriatric populations, organizational transformation, and policy change were \nrecommended.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.173
Teacher spread0.168 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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