Toward a low-carbon and climate resilient agriculture sector: Policies to increase the adoption of cover crops in British Columbia
Bibliographic record
Abstract
British Columbia's (BC) agriculture sector produces greenhouse gasses that contribute to climate change.The agriculture sector is also severely threatened by adverse impacts of a changing climate such as drought, flooding, soil erosion, loss of biodiversity, and more.Increasing the adoption of cover crops is one important pathway to mitigate emissions from and increase the resilience of the province's agriculture sector.However, cover crops are not being adopted to their full potential on farms given the presence of externalities that generate unpriced societal benefits from planting and maintaining cover crops, and additional barriers faced by farmers.I examine five policy measures to address the externality problem as well as alleviate barriers: expand BC's Farm Adaptation Innovator Program (FAIP); carbon sequestration payment; expand BC's Beneficial Management Practices (BMP) program; compulsory cover crop regulation; and a cover crop advisory committee.I recommend that BC expand its FAIP and BMP programs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".