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Record W4412224313 · doi:10.7241/ourd.20242.19

Skin diseases in the world`s indigenous peoples – with special focus on Greenland’s Inuit`s population

2024· article· en· W4412224313 on OpenAlexaboutno aff
Carsten Sauer Mikkelsen, Casper Bo Poulsen, Lone Storgaard Hove

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousFocus (optics)GeographyPopulationEthnologyHistoryPhysical geographyGenealogyDemographyBiologySociologyEcology

Abstract

fetched live from OpenAlex

Providing health care in Greenland is a major challenge. Spanning 2,600 km from north to south and 1,050 km from east to west, Greenland is the largest island in the world and has the lowest population density on the globe. The geographical situation combined with, at times, extreme weather conditions make providing healthcare a logistical challenge in Greenland. Most Doctors working in Greenland are used to perform a very broad range of medical duties including various dermatological conditions. But not a single certified Dermato-venereologist at work in Greenland. Dermatological care at specialist level is provided by tele-dermatology. In this article we will describe some of the problems with skin diseases in Greenland with special focus on the Inuit population – based on challenges with access to care and challenges associated with diagnosis based on differences in baseline patient characteristics and correct treatment due to cultural differences influencing treatment preferences. Key words: Arctic dermatology, Inuits, Atopic dermatitis, Psoriasis, Hidradenitis Suppurativa

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.987

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 head0.010
GPT teacher head0.262
Teacher spread0.251 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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