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Enregistrement W212780728

Robert J. C. Stead. Dry Water

2007· article· en· W212780728 sur OpenAlexvenueaboutno aff
Alison Calder

Notice bibliographique

RevueCanadian ethnic studies · 2007
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueShort Stories in Global Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAuntBequestCousinArt historyNephew and nieceHistoryClassicsArtLawPolitical scienceArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Robert J. C. Stead. Dry Water. Edited and with an introduction by Neil Querengesser and Jean Horton. Ottawa: University of Ottawa Press, 2008. 338 pp. Introduction. Notes. Variant readings. $38.00 sc. Robert J. C. Stead's novel Dry Water is new and old at the same time. Between 1935 and 1948, Stead tried to place the novel with a number of Canadian and American publishers, but could not, and the novel was never published during his lifetime. His attempts at revision resulted in two significantly different manuscripts, one much shorter than the other. The shorter version, published in a critical edition in 1983, is not well-known and has received little scholarly attention. Now, the University of Ottawa Press has released an edition of the longer manuscript, and it is a valuable contribution to the bookshelf. In addition to its scholarly interest, the novel is an entertaining read. It is divided into three parts, each concentrating on a different stage of the life of Donald Strand, the protagonist. Part 1 opens in 1890 as Donald, an orphan at age ten, arrives at his uncle and aunt's Manitoba farm. Despite his grief over his parents' deaths, his childhood experience of the farm is largely idyllic, as he plays schoolyard games, revels in the farm's bounty, and begins a strong and loving relationship with his cousin Ellen. Part 2 picks up Donald at the age of twenty-one, when he learns that his parents have left him a legacy of $5,000. This bequest enables him to benefit from the poor money management of a neighbour, who must sell his debt-laden farm for a low price in order to avoid repossession. While this purchase sets Donald up to succeed as a farmer himself, his treatment of the bankrupt seller also reveals a hardness to his character, and a willingness to exploit others' misfortunes for the sake of his own advancement. Having settled on a career, Donald turns his attention to the romantic choices he faces. He and Ellen love each other, but the fact that they are cousins causes them to refuse a sexual relationship (although such a relationship seems fine with others in the community). His choice is thus between Hester, a pedestrian but capable farm girl with whom he grew up, and Clara, the glamorous and sexually exciting newly-arrived schoolteacher. Eventually, through some machinations on her part, Clara wins out. Part 3 rejoins Donald at the age of forty-nine, when he is the most successful farmer in the district, with a large house, three children, and a still-desirable wife. However, the couple has become emotionally estranged, and the children, rebellious. The eldest son, Tom, has left the farm to work in a bank; Clarissa, the daughter, dresses provocatively and dates a Communist; and Walter, the youngest son, stays out late, drives too fast, and generally worries his father. Donald's solace comes from isolating himself in his home office, calculating and recalculating his monetary worth. His competitive spirit is roused by the success of Jimmie Wayne, a childhood friend who has grown up to be a lawyer in Winnipeg and who has married Ellen. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,118
Score d'incertitude au seuil0,394

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0030,004
Science ouverte0,0010,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,1180,057

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.

Tête enseignante Opus0,076
Tête enseignante GPT0,322
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2007
Routes d'admission2
Résumé présentoui

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