Bibliographic record
Abstract
This story is about a generous aunt, Laura Constantineau Brunet, who orally promised one of her Ottawa houses to her 20-year-old nephew George Constantineau in return for him agreeing to do some errands for her. George readily agreed to that bargain. So, while attending a technical school for 6 months in 1934.35, he lived with Aunt Laura at 550 Besserer Street in Ottawa, who owned both that house and the adjoining 548. They agreed that if George was good to her and if he did some chores for her, she would leave him the land with house next door, at 548. For George to win, he would have to show that doing those errands clearly referred to the sale of the house next door. But young nephews do errands for aunts who they are residing with for six months for several reasons. The errands could be payment for room and board while he was at school. George might be a kind nephew merely helping out his aunt. An objective bystander, knowing nothing of the promises, would not likely conclude that the only explanation for George helping Aunt Laura was that George was getting the other house. His errands were not clearly, nor of their own nature, referable to any dealing with 548 Besserer Street. George did not leave the courthouse empty-handed. Although he could not plainly demonstrate he had a deal for the house, the Supreme Court of Canada thought he should be paid for the errands he performed at the aunt's request, an equitable remedy known as quantum meruit. The Supreme Court said Aunt Laura would have been unjustly enriched by George if she did not pay something for those errands. She would have had to pay for his services if she hired anyone else to perform them. Supreme Court fixed these few errands as worth an extraordinarily high $500 per month (a total of $3,000) in 1954. Aunt Laura's estate was also ordered to pay all of George's legal bills.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.015 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.036 | 0.009 |
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".