The Perpetual Influence of Historical Trauma: A Broad Look at Indigenous Families and Communities in Areas Now Called the United States and Canada
Bibliographic record
Abstract
This article provides an overview of the perpetual influence and impacts of historical trauma within Indigenous families and communities who now live in areas called the United States and Canada. Indigenous Peoples (to include American Indians, Alaska Natives, and First Nations Peoples) continue to experience health inequities which stem in part from violent and systemic geographical dislocations and separations from ancestral and traditional homelands. My contribution to this special issue constitutes a node of comparison and contrast to the other narratives gathered here. Indigenous Peoples in North America persist amid an enduring legacy of settler-colonialism that includes 90% dispossession and loss of lands, and an average forced migration distance of 239 km from homelands to reservations Rarely is this uprootedness told in parallel with other experiences of forced displacement like those which unfolded during the Second World War and the Holocaust, the Yugoslav wars of the 1990s or the contemporary conditions fueled by Russia's war against Ukraine. On one hand, this is an oversight as we have much to learn from each other about the realities of uprooting and, especially, the long-term consequences of it. At the same time, comparisons of experiences with trauma are complex and perhaps inappropriate without attention to the magnitude, underlying motives of, and duration of traumatic events endured. In short, the decades-long research on HT in Indigenous communities offers important lessons about the lingering consequences of uprootedness from place, space, and culture and efforts to support healing that can benefit other displaced communities worldwide.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.042 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".