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Record W3010843725 · doi:10.3138/chr.2018-0097

Colonial Extractions: Oral Health Care and Indigenous Peoples in Canada, 1945–79

2020· article· en· W3010843725 on OpenAlexaffvenueabout
Catherine Carstairs, Ian Mosby

Bibliographic record

VenueCanadian Historical Review · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndigenousGovernment (linguistics)Health careColonialismMedicinePolitical scienceEconomic growthSocioeconomicsLawSociologyEcology

Abstract

fetched live from OpenAlex

Indigenous Peoples in Canada currently experience much higher rates of oral health problems than their non-Indigenous counterparts. A number of recent reports have shown that Indigenous children have very high rates of tooth decay, that large numbers of Indigenous people report experiencing ongoing and persistent pain in their mouths, and that significantly more Indigenous people than non-Indigenous Canadians have no teeth at all. These oral health inequalities are important, not just because they have a profound impact on Indigenous Peoples’ quality of life but also because poor oral health is linked to other health issues that currently disproportionately impact Indigenous communities, including diabetes and heart disease. From 1945 to 1979, the federal government made only limited attempts to provide oral health care to Indigenous Peoples despite treaty promises of health care. The government did not believe that it had any obligation to provide oral health care, and as a result, the services provided were rushed, inadequate, inconsistent, and sometimes cruel. Indigenous Peoples experienced much higher levels of tooth extractions and lower rates of denture provision than was the case among non-Indigenous peoples in Canada, with ongoing consequences for their oral health today.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.300
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2020
Admission routes3
Has abstractyes

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