General Equilibrium Impacts of Technological Change under Different Market Structures: A Comparison of Supply Managed and Other Primary Agricultural Markets in Canada
Bibliographic record
Abstract
Market impacts of technological change in Canadian agriculture are measured within a CGE framework using 2001 input-output data with agriculture disaggregated to six sectors and thirteen commodities. Technological change is modelled as productivity rises in the use of intermediate inputs and of primary factors. Impacts on output, intermediate use of output, foreign trade, final consumption, returns to primary factors and relative price are calculated for primary and processed food products. Impacts of technological change can be summarised into two general outcomes. First, supply managed sectors respond to technological change differently than other agricultural sectors. In the former, economic rents generated from quotas increase while in the latter, outputs, exports, and final consumption increase along with declines of relative supply prices. Second, large relative price declines for other commodities lead to consumer gains. DOI: 10.4038/sjae.v9i0.1830 Sri Lankan Journal of Agricultural Economics, Vol. 9, 2007 pp.1-21
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".