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Record W7073559976

Generalized Joint Laxity in Igloolik Eskimos and in Island Lake Amerindians

2020· article· en· W7073559976 on OpenAlexaboutno aff

Bibliographic record

VenueHuman Biology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsJoint diseasePopulationRange (aeronautics)ArcticJoint (building)The arctic
DOInot available

Abstract

fetched live from OpenAlex

The findings of generalized joint laxity studies in the Igloolik-Hall Beach Eastern Arctic population (n = 298) and the Cree-Ojibwa Indians of Island Lake Reserve, Manitoba (n = 396) conducted in 1972 and 1973 are reported. Generalized joint laxity (GJL) is a condition in which excessive range of motion is present in several pairs of joints and probably represents the upper end of a spectrum of range of normal joint mobility. GJL has been shown to be present in a higher percentage of Congenital Hip Disease (CHD) cases than controls. In the Island Lake population no correlation was shown between CHD and GJL. Both populations demonstrated a gradual decrease in GJL with age with the decrease slower in females. No individuals over 19 years of age were positive for GJL. Unexpectedly, Eskimos exhibited a greater degree of GJL through all age groups, which was most significant between the ages of 5 to 9 years (p < .001). In neither population at any age category were the sexes sig­nificantly different.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.962
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2020
Admission routes1
Has abstractyes

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