Bibliographic record
Abstract
Recent years have seen the rise of historical trauma as a construct to describe the impact of colonization, cultural suppression, and historical oppression of Indigenous peoples in North America (e.g., Native Americans in the United States, Aboriginal peoples in Canada). The discourses of psychiatry and psychology contribute to the conflation of disparate forms of violence by emphasizing presumptively universal aspects of trauma response. Many proponents of this construct have made explicit analogies to the Holocaust as a way to understand the transgenerational effects of genocide. However, the social, cultural, and psychological contexts of the Holocaust and of post-colonial Indigenous "survivance" differ in many striking ways. Indeed, the comparison suggests that the persistent suffering of Indigenous peoples in the Americas reflects not so much past trauma as ongoing structural violence. The comparative study of genocide and other forms of massive, organized violence can do much to illuminate both common mechanisms and distinctive features, and trace the looping effects from political processes to individual experience and back again. The ethics and pragmatics of individual and collective healing, restitution, resilience, and recovery can be understood in terms of the self-vindicating loops between politics, structural violence, public discourse, and embodied experience.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.018 | 0.034 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".