Madott, Darlene. Winners and Losers: Tales of Life, Law, Love and Loss.
Notice bibliographique
Résumé
Darlene Madott's Winners and Losers fashions a world where characters inhabit spaces of ambiguity, where right and wrong, good and bad, winner and loser are not opposing but rather simultaneous and overlapping states of being.In this book, Madott's ninth, interlinked short stories centre on Francesca Malotti as she navigates corresponding and competing commitments to the legal profession and to family.As readers move through twenty stories, including an epilogue that powerfully blurs the boundary between author and protagonist, readers encounter non-chronologically various moments of Francesca's life, from glimpses of her childhood through to her experiences of law school, early articling, marriage to and divorce from a man with persistent financial problems, balancing her cases with single-parenting, and the early days of retirement.The variety of this collection's stories coupled with the unifying presence of a singular protagonist propel readers forward through compelling contemplations of what it is to be just and serve justice in both our professional and personal lives.The characters that Madott creates are a key strength of this collection.Madott's exploration of the fallibility and fragility of the human spirit hinges on the "and" in the collection's title: each individual is both winner and loser, their depth emerging in that in-between space of "and." The collection's first and eponymous story, "Winners and Losers, " sets the stage with Francesca simultaneously celebrating a win for her client in a custody matter and acknowledging her and her young son's own loss of time with each other because of her work commitments."Betrayal" centres on a young woman, the wonderfully named Margaret Meanie, who mentors the older Francesca while they article at a large law firm.The story's title may imply judgement, but as this story and the rest of the collection showcase, verdicts are rarely static; doubts and uncertainty remain reasonable.In the end, Ms. Meanie may be the winner, outsmarting her fellow articlers, but she too is the loser, shedding bits of integrity along the way; Francesca, on the other hand, may be the loser, manoeuvred out of a job, but she too is the winner, forfeiting the game, not herself.In this collection's focus on the moral complexity of human existence, Francesca must often confront her attraction to flawed individuals.These are characters who are interesting, even alluring, because of their weaknesses, even though these weaknesses could also reasonably be met with
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».