The “cancer–cold” hypothesis and possible extensions for the Nordic populations
Bibliographic record
Abstract
Cancer incidence is inexplicably high in cold countries. This has been revealed by recent genetic and epidemiological studies. These studies used data from the GLOBOCAN-2012 database, for 186 populations and for a variety of cancer types. Cancer incidence in Nordic people is particularly high for the frequent cancer forms, like breast, prostate and colon cancer. A relationship of cancer with cold is suspected since Inuit and Alaska Indians that live in even more extreme low temperatures have the higher cancer rates in the world. In this article, possible reasons for this phenomenon are discussed. These explanations are related with: evolutionary adaptation to extreme cold, the genetic background of Nordic people, the experimentally proven fast growth and metastasis of tumors at low temperatures, high concentration of certain air pollutants at cold environments, low levels of serum Vitamin D, overdiagnosis by the medical doctors and high quality of the health system in Nordic countries. Lifestyle parameters are not discussed in detail, although these may be equally crucial for cancer risk in cold countries. In conclusion, more studies are needed to elucidate the real causes of this epidemiological pattern.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".