Managing the value of new‐trait varieties in the canola supply chain in Canada
Bibliographic record
Abstract
Identifies the drivers, classifies the structures, examines the governance systems and estimates the relative economic costs and benefits of various identity‐preserved production and marketing (IPPM) systems that have evolved in the Canadian canola industry. The systems vary significantly, depending on whether they are managing input‐ or output‐based, traditionally bred or biotechnology‐based traits. Combines transaction costs and principal‐agent theory in a synthesized transaction cost‐agency model that allows for predictions regarding the organizational form of vertical integration based on the degree of asset specificity, task programmability and non‐separability. Transactions for new, proprietary, novel‐trait canola varieties require a more extensive set of institutions than traditional varieties. Identity‐preserved production and marketing systems appear technically feasible for smaller units of production, but it is unclear whether they are economically viable for long‐term or larger‐scale operations. IPPM systems can provide an effective and proven method of controlling risks and liabilities.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".