Notice bibliographique
Résumé
Little, Jean. All Fall Down: The Landslide Diary of Abby Roberts. Toronto: Scholastic Canada, 2014. Print.The Dear Canada Series is a strong, well-written series of novels bringing different periods of Canadian history to life through the voices of girls living at the time. There is a constant high quality of writing throughout the series and the books cover both moments of high drama, like the Halifax explosion, and also descriptions of the continuing stress of displacement and immigration.Jean Little is a fine writer whose descriptions vividly bring a scene to life and whose compassion exposes character and allows the reader to become one with her heroine.All Fall Down is the story of the Frank Slide in Alberta in 1902, but it does not begin there. We meet Abby and her family in Montreal and are thrown headlong into her story with the first sentence: “This morning my father was killed.” There has been an industrial accident and the family is left in turmoil. Here we begin to see the stresses Abby’s mother faces- no money, a child with Down Syndrome, and three other children to care for. Help comes from her mother’s brother who has opened a hotel in Frank, Alberta. He offers to take them all in. A three day train journey from Montreal takes them to Frank where their uncle and aunt greet them with kindness and concern. Little builds the situation in Frank; the prejudice against the Down Syndrome little brother, the prejudice, also against a friend Abby makes - Bird, a First Nations girl, and the changes in Abby’s older brother and sister as they, too, have to find a new place in the tiny community.The plot lines are skilfully woven- Abby’s growing skills and abilities, the family finding a place in the community, disease ,and strained relations with the First Nations people to the extent of ignoring a continual warning from Bird’s grandfather that the mountain would walk.Then the mountain walks.The first part of the book enables the reader to become so familiar with the family and the Frank community that the tragedy is all the more telling.All Fall Down is a strong engaging story, all the more effective because of the compassion with which a skilful writer, like Jean Little, has brought her people to life.Highly Recommended: 4 out of 4 stars Reviewer: Andrea DeakinAndrea has been involved with books since she was class librarian in Primary School, Student Librarian in Grammar School, student librarian for the Education Faculty when she was a student, and school librarian in schools both in England and in Canada, except for the first two years in Canada where she arrived in 1959. When she retired from teaching ( English and History) she was invited to review in February 1971, and continued to review for press, radio, and finally on the Internet (Deakin Newsletter from Okanagan College) until she retired in 2011. Forty years seemed sufficient- although she still cannot keep her nose out of good children's and YA fare.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 0,013 |
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 ».