Vitamin D, age, sex and skin pigmentation: An analysisof how recommendations and standards regarding vitamin D need more comprehensive research for policy
Bibliographic record
Abstract
Vitamin D has long been implicated in health research with its etiology hypothesized in many diseases. As recently as 2011, the Institute of Medicine (IOM), appointed a committee of 14 scientists to re-evaluate the 1994 dietary reference intakes for calcium and vitamin D as ample new research had been conducted to warrant an evaluation of vitamin D supplementation. The efforts were supported by the United States and Canadian governments. Research was evaluated and new recommendations were established. However, the committee of scientists, supported by IOM staff, continues to use the same evaluation methods for vitamin D as they do for all vitamin dietary recommendations, but vitamin D is not a vitamin in the traditional sense. It is a pro-hormone. Vitamin D is not gained solely from diet. It is more readily produced via the conversion of cholesterol to vitamin D through sun exposure. Therefore, traditional methods of evaluation to deduce dietary intakes may not apply for a vitamin that is environmentally influenced. While many scientists are adamant that the recommendation levels for vitamin D should be higher and not all population sub-group dietary needs are being addressed, new methods of evaluation may be what are warranted. It is vital that researchers evaluate novel ways to understand vitamin D and the implications for nutritional policy in the form of dietary recommendations to create more comprehensive recommendation for vitamin D dietary needs. Currently, dietary recommendations are created for life-stage (age range) and sex, but more comprehensive listings by latitude, skin pigmentation, and adiposity might provide for the needs of more individuals.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".