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Vitamin D deficiency and disease risk among aboriginal Arctic populations

2011· review· en· W1913251282 on OpenAlex
Sangita Sharma, Alison B Barr, Helen M. Macdonald, Tony Sheehy, Rachel Novotny, André Corriveau

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNutrition Reviews · 2011
Typereview
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsAlberta HealthGovernment of AlbertaUniversity of Alberta
FundersAmerican Diabetes Association
KeywordsVitamin D and neurologyEnvironmental healthArcticVitaminvitamin D deficiencyMedicineDiseaseRicketsObesityPhysiologyBiologyEndocrinologyInternal medicineEcology

Abstract

fetched live from OpenAlex

Aboriginal populations living above the Arctic Circle are at particularly high risk of vitamin D deficiency due to limited ultraviolet B exposure (related to geographic latitude) and inadequate dietary intake (recently related to decreased traditional food consumption). Major changes in diet and lifestyle over the past 50 years in these populations have coincided with increased prevalence rates of rickets, cancer, diabetes, and obesity, each of which may be associated with vitamin D inadequacy. This review examines the risk factors for vitamin D inadequacy, the associations between vitamin D and disease risk at high geographic latitudes, and the recommendations for improving vitamin D status particularly among aboriginal Arctic populations. Traditional foods, such as fatty fish and marine mammals, are rich sources of vitamin D and should continue to be promoted to improve dietary vitamin D intake. Supplementation protocols may also be necessary to ensure adequate vitamin D status in the Arctic.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.106
GPT teacher head0.414
Teacher spread0.309 · 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