An Overview of the Canadian Agriculture and Agri-Food System
Bibliographic record
Abstract
This 2009 report provides an economic overview of the Canadian agriculture and agri-food system. It is meant to be a multi-purpose reference document to provide: an introduction to the agriculture and agri-food system; a snapshot of structural changes that are occurring throughout the system in response to various factors; and background data and information to inform public discussions on challenges and opportunities facing the Canadian agriculture and agri-food system. Charts and tables with brief accompanying texts are used to summarize information and to provide base performance indicators. The 2009 report begins with a special feature which describes indicators to benchmark competitiveness of the Canadian agriculture and agri-food sector at the beginning of Growing Forward. This includes indicators of long run sales growth in domestic and international markets and relative profitability. It also presents some of the key factors determining competitiveness in the sector. It continues by reviewing each segment of the system, going upstream from consumers to food distribution, food and beverage processing, primary agriculture, and input suppliers. It also contains a section that considers the natural resources available in Canada and the environmental impacts of agriculture on those resources. It concludes with a review of government expenditures in support of agriculture, including international comparisons of measures of support.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.012 | 0.031 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".