First Nations, Residential Schools, and the Americanization of the Holocaust: Rewriting Indigenous History in the United States and Canada
Bibliographic record
Abstract
Abstract. The Americanization of the Holocaust has encouraged some notable activists, purportedly acting on behalf of indigenous peoples, to present European colonization as a “holocaust,” repackaging colonial history in starkly black-and-white terms. I pay particular attention to discussions in America and Canada over the genocidal implications of indigenous residential schooling. There is a twin danger involved. At one level the Holocaust is subjected to a process of trivialization. At another level, framing history through the Holocaust decontextualizes group histories by re-reading past victimization through a distinctive and different series of events. While comparing historical atrocities can be academically fruitful, activists will do better to highlight the traumatic effects of atrocities on individuals and families, noting their intergenerational legacies. This may be a better way of representing history, and of building bridges between diverse groups. Résumé. L'américanisation de l'holocauste a encouragé d'éminents activistes, prétendant agir au nom des autochtones, à présenter la colonisation européenne comme un “holocauste”, reformulant ainsi l'histoire coloniale en termes crûment arrêtés. Je porte une attention toute particulière aux discussions menées au Canada et aux États-Unis concernant les implications génocides de la scolarité des autochtones en internat. Deux dangers se présentent. D'une part l'holocauste est exposé à un processus de banalisation. D'autre part, formuler l'histoire par l'holocauste isole de leur contexte les histoires des groupes en relisant les persécutions passées sous le jour d'une série d'événements distinctive et différente. Bien qu'il soit intellectuellement utile de comparer les atrocités historiques, les activistes feront mieux de souligner les effets traumatisants des atrocités sur les individus et les familles et le triste héritage laissé aux générations suivantes. C'est peut-être une meilleure façon de représenter l'histoire et de faire des rapprochements entre des groupes divers.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.018 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".