Notice bibliographique
Résumé
CJ: Janette Turner Hospital is one of Australia's finest writers. She has produced eight literary novels, one crime novel--published under the pseudonym Alex Juniper--and four collections of short stories. Born in Melbourne, she spent her formative years in Brisbane where she was educated, studying for her first degree at the University of Queensland. Here she met her husband, Cliff Hospital, and travelled overseas with him, living in India, England, Canada and America. Currently she is Carolina Distinguished Professor of English at the University of South Carolina--quite a leap from a Primary School in Brisbane ... JTH: True, via Canada, England, India ... CJ: And your husband is here today, looking as though he could be one of the heroes from your books ... has he ever appeared in your work? JTH: No one in real life appears directly, but most characters have points of origin in real life. They're usually accretions of several real life people's components ... so I would say there are traces of him here and there. CJ: Can you tell me where? JTH: More in the short stories, actually; I was always fascinated by a story in Cliff's family.... When his grandparents left England, they had a baby, and their parents gave them a gold coin, a half-sovereign, I think it was. They put it in the baby's hand. That baby died and was buried at sea on the voyage out, and another baby was born on the voyage out. And so the short story, 'Uncle Seaborn' ... Seaborn was the name given to the baby born on the voyage and this gold coin came down through the family to Cliff's sister and I've always been fascinated by that story. Particularly the hardships in women's lives.... Can you imagine? In a nine-month sea voyage a baby dies and another baby is born. It just boggles the mind. No matter how rough we women have had it in our time, nothing could compare with that. CJ: All of your books feature fabulous women who cross borders, are independent and creative. Now, do you have a favourite amongst your heroines? JTH: Oh ... all the feisty ones, I think. And that's because I wish I had that degree of independence and guts ... CJ: I find that rather amusing--that you wish you had that feistiness, because you're certainly a feisty writer. And this is why so many women passionately love your writing; and so many more young women, who haven't yet read your opus will passionately love it. JTH: Well, thank you Cheryl. In actual truth, though, in my High School group of six close friends--four women and two men--girls and boys in High School days--two of the women were suicides in their twenties, all of us, for various reasons, felt quite vulnerable in a way.... We were the first in all of our families to finish High School, even, let alone go to university. And, there was always a great fear, that I would be one of the ones who would go under ... CJ: Who had the fear? JTH: Who had the fear? I did. CJ: When you say, 'go under' ... do you mean that you thought you would commit suicide? JTH: Not exactly that. I mean, I never felt that I would be at risk of suicide, but those of us who were breaking new ground were pretty much alone in our fields. There wasn't much back-up, there were a lot of patronising male put-downs, so I was very aware that you might go under--or you had to be very, very tough to make sure you didn't. And so, most of the female characters in my novels are actually bifurcated, in that there's one who doesn't make it and one who does. There are three figures who, I guess, represent aspects of myself and the one in the middle was the sane, normal one. But I always feared that I might fall under, and to safeguard against that I'd better be daring and always face down fears. Which has been my path, actually, so I am delighted to find that you think it funny that I don't think myself feisty, when I've always been afraid of the other extreme. CJ: Well, you always learn something unexpected about writers when you talk to them. …
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 | 0,004 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,018 | 0,003 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,008 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,070 | 0,008 |
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 ».