Notice bibliographique
Résumé
A cavaranserai was an inn where travelling Muslim merchants would gatherat night to relax after a hard day’s journey, share meals, and tell stories toeach other. These themes of travelling and storytelling set the scene forHanifa Deen’s wonderful book about these people, who, originally travellersthemselves, arrived on the continent around the eighteenth century.Moreover, the book is a story of Deen’s journey around Australia to collectthe stories of her fellow Muslim compatriots.Caravanserai was originally published in 1995. The impetus behindthe book was Deen’s sense during the first Gulf War (1991) that Muslimsin Australia did not have a human face – they were known by the generalpublic only through negative stereotypes. She sought to tell some of theirstories to show that Muslims, just like any other group, were human beings who “mow their lawns, are preoccupied with losing weight, worryabout their jobs and mortgages, play sport, swap jokes or tell their childrenbedtime stories” (p. 8). She set out across Australia to collect theirstories.At the time, Deen found that Muslims were making their way inAustralia, becoming more accepted by the wider community and establishedas one of many others in Australia’s multiethnic, multireligious society.The 9/11 tragedy changed all that, and Muslims in Australia, as in otherwestern countries, found themselves treated as “enemy aliens.” Believingthat the clock had been set back, the author felt an urgent need to retraceher steps to find out how her country’s Muslim communities were faring.The result of the second journey appears as part 4, and its three long chaptersmake up nearly one-third of the book.Deen writes that she was asked time and again what kind of book shewas writing and, surprisingly, found that answering this question wasrather difficult. As she travelled, met people, and collected their stories, thestyle of Caravanserai emerged: part storytelling and part commentary.This combination has served her well, for her renditions of her interviewees’stories are beautifully written. She describes the people she meets, thescene and ambiance of their meeting, and her thoughts and emotions as sheretells their stories. She writes so well that I often felt that I was in theroom with her, interacting with the people around her. This was all themore poignant for me, since I am an Australian from Perth, like her, butwho became Muslim only after emigrating to Canada. Deen’s stories connectedme with the Muslim community in Australia that I have neverknown ...
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 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,547 | 0,205 |
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 ».