Bibliographic record
Abstract
Vitamin D is obtained by the body from UV radiation from the sun and is compulsory for bone formation.Insufficient intake of Vitamin D results in fragile bones.Insufficient intake is more common among immigrant populations in Canada due to decrease in sun exposure.Immigrants and refugees from non-Western countries are more likely than the general population to suffer from vitamin D deficiency and rickets.Up to 50% of people with non-Western origins may have severe vitamin D insufficiency.Due to the sometimes overwhelming sunshine in their country of origin, they are not used to sunlight exposure.A study looked at the vitamin D status, bone mineral content, and vitamin D consumption of immigrant kids in Saskatchewan.The prevalence of inadequate intakes of calcium and vitamin D was 76% and 89.4%, respectively, in the sample.The Canadian Health Measures Survey (CHMS) also demonstrated the prevalence of the deficiency in the immigrant population in Canada.A quantitative survey was conducted with 82 participants -exploring their awareness and intake of vitamin D in daily life.It was found that with age the diagnosis of the deficiency increased.Moreover, sun exposure had an inverse relationship with diagnosis of the deficiency.The study confirmed the work conducted by CHMS in the immigrant population from India in Oakville, Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".