Medium Term Outlook for Canadian Agriculture - International and Domestic Markets
Bibliographic record
Abstract
The purpose of this document is to describe the features of the Agriculture and Agri-Food Canada (AAFC) Medium Term Outlook for Canadian Agriculture covering the period 2009 to 2019. The outlook is an attempt to outline a plausible future of the international and domestic agri-food sectors. It serves as a benchmark for discussion and scenario analysis. The outlook makes specific assumptions and outlines their implications. Since it assumes that policies remain unchanged from existing legislation, the outlook is not a forecast of future events. In particular there are no assumptions made regarding the outcome of the Doha round of trade negotiations. It also assumes no impact from climate change and from policy to mitigate climate change nor significant animal disease outbreaks or unusual climatic conditions over the period of the outlook. The starting point of the international baseline is the so-called lower GDP slow recovery medium term scenario published in the OECD/FAO Agricultural Outlook 2009-2018. This scenario was updated in the short term using macro-economic forecasts released by the OECD in September 2009 and by the World Bank in June 2009. Exchange rates were updated to reflect the information released at the end of 2008 and in the first 6 months of 2009. The agricultural outlook was updated to reflect short term price forecasts produced and released by the U.S. Department of Agriculture (USDA) in October 2009.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".