Notice bibliographique
Résumé
Rosa Becker and Lothar Pettkus, two immigrants to Canada, met in 1955. They moved in together and lived as husband and wife, although they did not marry, and they had no children. Until 1960, Becker paid the rent and living expenses from her outside income and Pettkus deposited his income in a bank account in his name. In 1961, they bought a farm in Quebec. The money came from Pettkus' account and ownership ("title") was taken out in his name, as was the custom in those days. Since Rosa Becker had contributed work and money in the reasonable expectation of receiving an interest in the property, a majority of judges in the Supreme Court of Canada found a constructive trust on the basis of this common law relationship. Three requirements must be satisfied: there must be an enrichment, a corresponding deprivation, and absence of any good legal reason for the enrichment. The Court ruled that all three requirements were met in this case. Becker conferred benefits on Pettkus and never received anything in return from the land and business. It determined that the contribution of money and labour by Ms. Becker to the beehive business allowed Mr. Pettkus to acquire the property that he held in his name. In the fall of 1984, Becker tried to have the beehives seized and sold to recover the money. Pettkus appealed the seizure and he quit feeding the bees. Becker applied for a court order requiring him to feed the bees. By that time, most of the bees were dead. In the fall of 1984, the two Ontario properties were sold for $69,000.00. All of this money that was to go to Becker was intercepted by Becker's lawyers to pay for a decade of legal fees. Rosa Becker had been victorious in the courts, but it was a frustrating, costly and futile victory using the Canadian law and legal system. Such claims require considerable time and expense to pursue in the court system. Collecting a judgment can be a long and difficult experience. She had nothing to show for it in the end. At age 60, without collecting a cent from her win, she was working as a livein housekeeper for a dairy farmer in exchange for room and board plus $60 per week wages.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,031 | 0,018 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,022 | 0,021 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».