Reflections on technological progress in the agri‐food industry: Past, present, and future
Bibliographic record
Abstract
Abstract Technological advances—for example, from hand milking to robotic milking—are at the heart of economic transformation and have significantly shaped the agri‐food industry and economic growth throughout history. A look at the lead article of the first issue (and the first volume, 1952) of the Canadian Journal of Agricultural Economics (CJAE) 70 years ago reveals an ongoing inquiry within the discipline about how technological progress has shaped how we manage our farms with the implications on aggregate industry productivity and food prices. The topics discussed along these lines in the first issue of the CJAE are still relevant today—for example, challenges with measuring productivity and innovation, diffusion of innovation, technological unemployment, demand for skilled workers, financing innovations, climate change and food security. Science, technology, and innovation for the 21st century hold the potential to foster resilient and sustainable intensification of farm production and productivity growth for the agri‐food industry. In this address, I reflect on the past, present, and future impacts of technological innovations and productivity growth on the agri‐food industry and discuss the implications for future research, welfare, and policy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".