Bibliographic record
Abstract
Ever Since Humans First looked to the skies for relief, the changing mood of the climate has been assumed to be beyond human control, other than through supplication, ceremony, and ritual sacrifice. In secular modern times, there has been little interest in studying climatic influences on patterns of disease and survival. After all, we can curb cigarette smoking, but we cannot change the climate. Or so we thought. Now, though, there is new interest in understanding how human- driven climate change affects human health, in the present and into the future. The risks to human health extend far beyond the well- known dangers from heat extremes, fires, floods, and mosquito proliferation, as signaled in Chapter 1. Changes in regional climates influence crop yields and livestock productivity and hence the occurrence of hunger, undernutrition, and stunted child development; they affect the ranges, seasonality, and rates of many infectious diseases. Heightened extremes of weather precipitate cholera outbreaks in impoverished crowded communities and, given the often destructive impacts of many events, can result in post- traumatic stress, long- term depression, and survivor guilt. The list goes on. There are both physical and mental health consequences of rural droughts and climate- exacerbated population displacement, migration, and resource conflicts. In the Canadian and Alaskan Arctic region, where 2°C warming has already occurred since 1950, the loss of coastal sea ice and permafrost is disrupting traditional Inuit hunting routines. Without access to prey species such as seals and caribou, physical activity levels have decreased and the population’s reliance on imported energy- dense processed foods has increased. Rising levels of obesity, cardiovascular disease, and type II diabetes have been the result. As climate change tightens its grip in coming decades, an increasing portion of all adverse health impacts is likely to result from indirect effects such as reduced food yields, depleted freshwater supplies, and loss of the physical protection provided by reefs, mangroves, and forests. In the past, moderately warmer periods in particular regions, spanning several centuries, often enhanced crop yields and population growth.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".