Variations and Consideration in New Zealand and Canada: Gloria Jean’s Coffees International Pty Ltd v Daboko Ltd and Rosas v Toca
Bibliographic record
Abstract
In Rock Advertising Ltd v MWB Business Exchange Centres Ltd the Supreme Court of the United Kingdom sought to bring commercial certainty to the question of the legal effect of no oral modification clauses. However, the other “truly fundamental issue” facing the Court was ducked: namely, what is the law relating to consideration for variation agreements? Thanks to its decision about no oral modification clauses, the Court did not need to explore the apparent inconsistency between the part-payment of debt rule in Foakes v Beer and the practical benefit test for consideration for variation agreements in Williams v Roffey Bros & Nicholls (Contractors) Ltd. The Supreme Court went no further than pouring some rhetorical cold water on the Court of Appeal’s decision that the practical benefit test could be utilised in cases like Foakes v Beer. This has left some “uncertainty” in this area of contract law in the United Kingdom which remains to be cleared. How far does the decision in Williams v Roffey extend? Is the full rigour of the pre-existing duty rule for variation agreements still good law?
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.007 | 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".