Influence of Climate and Land Use Change on Carbon in Agriculture, Forest, and Peatland Ecosystems across Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter illustrates the influence of climate change on the carbon (C) pools in managed ecosystems across Canada. Specifically, the ecosystems considered are agricultural environments, forests, and peatlands. Much of the focus of discussion is on the interaction between different C pools, under changing climatic conditions, with specific reference to C fluxes in the three managed ecosystems. The need for the intense management of Canadian peatlands–wetlands, forests, and agricultural ecosystems is increasing to fulfill the requirements of food, livestock feed, fiber, and fuel production. Climate change affects both the distribution and character of the landscape through changes in temperature, precipitation, and natural disturbance patterns. These impacts are not entirely separable from the effects of other anthropogenic changes such as land use change, soil degradation, erosion, and drainage, all of which may be exacerbated by climate change.
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.
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 | 0.000 | 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 | 0.000 | 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 it