Witnessing the Shared Story of Intergenerational Trauma in a Chinese Canadian Family: An Autoethnographic Narrative
Bibliographic record
Abstract
This article presents the narrative of the first author witnessing the process of sharing intergenerational trauma (IGT) stories between a parent-offspring dyad. The narrative described in this paper is part of a study that involved the construction of IGT narratives in Chinese Canadian families (Chou et al., 2023). Arvay’s (2003) Collaborative Narrative Method was utilized to develop participant narratives, while autoethnographic data was used to construct the researcher’s narrative. The paper introduces an intergenerational family dyad (father-daughter) engaging in a facilitated process that involved sharing their IGT stories with one another and presented from the researcher’s perspective. The study has implications for researchers and practitioners working with IGT in the Chinese diasporic community as well as other ethnocultural groups. It provides insight into a scarcely studied phenomenon and illustrates how IGT narratives can be shared in a facilitated and supportive manner and has implications for research and clinical practice.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".