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Record W2988877155 · doi:10.32799/ijih.v14i2.32251

Colonial Trauma: Complex, continuous, collective, cumulative and compounding effects on the health of Indigenous Peoples in Canada and beyond

2019· article· en· W2988877155 on OpenAlexaffvenueabout
Terry Mitchell

Bibliographic record

VenueInternational Journal of Indigenous Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsIndigenousColonialismHistorical traumaPoliticsGlobeMental healthPolitical scienceGeographyCriminologySociologyEthnologyDevelopment economicsMedicineEcologyLawPsychiatryNursingBiologyEconomics

Abstract

fetched live from OpenAlex

Indigenous peoples across the globe suffer a disproportionate burden of both mental and physical illness relative to Settler populations. A substantial body of research indicates that colonialism and its associated processes are important determinants of Indigenous peoples' health. In Canada, despite an abundance of health research documenting inequalities in morbidity and mortality rates for Indigenous peoples, relatively little research has focused on the political, historical, cultural basis of health disparities. This paper advances a theory of colonial trauma as a conceptual framework with which to understand Indigenous health and mental health disparities. Colonial Trauma is described as a complex, continuous, collective, cumulative and compounding interaction of impacts related to the imposition of colonial policies and practices which continue to separate Indigenous Peoples from their land, languages, cultural practices, and one another. The theory of colonial trauma is presented as useful a framework for understanding the links between persistent health disparities, the traumagenic nature of colonialism and the right of self-determination.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.308
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations75
Published2019
Admission routes3
Has abstractyes

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