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Record W2055578154 · doi:10.3917/spub.082.0113

Vers une étude ethnoépidémiologique du diabète de type 2 et de ses complications

2008· review· fr· W2055578154 on OpenAlexaff
Geneviève Imbert

Bibliographic record

VenueSanté Publique · 2008
Typereview
Languagefr
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIndigenousEthnic groupType 2 diabetesEpidemiologyGeographyMedicineDiabetes mellitusSociologyAnthropologyBiologyPathologyEndocrinologyEcology

Abstract

fetched live from OpenAlex

The troubling evolution of Type 2 Diabetes into epidemic proportions bearing dramatic consequences has generated significant interest leading to a strong research focus and therefore the subject of several studies in recent years. This article examines Type 2 Diabetes Mellitus and its complications on the basis of a literature review addressing their epidemiological situation on an international scale--including indigenous peoples--and their socio-cultural determinants. This study reveals important ethnic disparities in terms of mortality and morbidity, as well as the multi-factored origin of this metabolic disorder, most notably among indigenous populations. Above and beyond the limits of prevention programmes, this literature review addresses the importance of reinforcing ethnoepidemiological studies among vulnerable peoples in order to improve our understanding of the emergence and development of this particularly complex pathological phenomenon

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.029
GPT teacher head0.326
Teacher spread0.298 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2008
Admission routes1
Has abstractyes

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