Intergenerational perceptions of mass trauma’s impact on physical health and well-being.
Bibliographic record
Abstract
OBJECTIVE: This study investigated the perceived intergenerational impact of the 1932-1933 forced starvation-genocide of Ukrainians and reports the perceived impact of the mass trauma on physical health and well-being across three generations. METHOD: Interviews were conducted with survivors of the 1930s mass trauma and their adult children and grandchildren. In total, 45 interviews were conducted in Ukraine and a qualitative thematic method was used to analyze the interview texts. RESULTS: Two main themes emerged from the qualitative analysis. First, survivors noted adverse physical health outcomes stemming from their experiences with the 1930s mass trauma. Second, mainly descendants of survivors reported that the mass trauma set into motion biological, psychological and social processes, which in turn, have negatively affected physical health across generations. CONCLUSIONS: Participants viewed the mass trauma of the 1930s to have affected the physical health of not only survivors, but also their adult children and grandchildren born decades after the traumatic event. Recommendations are made for cultural awareness training for clinicians who treat patients with family histories of ancestral trauma. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".