找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Romantic Women Writers and Arthurian Legend; The Quest for Knowle Katie Garner Book 2017 The Editor(s) (if applicable) and The Author(s) 20

[復制鏈接]
樓主: 戲弄
31#
發(fā)表于 2025-3-26 21:30:10 | 只看該作者
how they shaped their imaginative responses.Connects VictoriThis book?reveals the breadth and depth of women’s engagements with Arthurian romance in the late eighteenth and early nineteenth centuries. Tracing the variety of women’s responses to the medieval revival through Gothic literature, travel
32#
發(fā)表于 2025-3-27 04:39:56 | 只看該作者
,Arthuriana for the ‘Fair Sex’: Gender Politics and the Reception of Romance,ian material was considered to be outside the boundaries of acceptable female knowledge. Particular attention is given to a selection of Thomas Percy’s Arthurian ballads produced for young women, while the closing discussion examines how contemporary gender debates influenced the marketing of Romantic editions of Malory’s .
33#
發(fā)表于 2025-3-27 06:55:41 | 只看該作者
,Next Steps: Recovering the Arthurian Past in Women’s Travel and Topographical Writing,, Eleanor Anne Porden, Anna Sawyer, and Mary Russell Mitford is examined. As part of its attention to places and spaces, Garner also addresses the nationalist impulse at stake in treatments of the Arthurian myth and concludes that English women poets ultimately failed to appropriate the legend successfully in their verse.
34#
發(fā)表于 2025-3-27 10:29:12 | 只看該作者
35#
發(fā)表于 2025-3-27 14:59:33 | 只看該作者
Book 2017g the Arthurian interests of the best-selling female poets of the day, Felicia Hemans and Letitia Elizabeth Landon, and uncovering those of many of their contemporaries, the Arthurian myth in the Romantic period is a vibrant location for debates about the function of romance, the role of the imagination, and women’s place in literary history.?.
36#
發(fā)表于 2025-3-27 20:23:58 | 只看該作者
37#
發(fā)表于 2025-3-27 23:14:25 | 只看該作者
38#
發(fā)表于 2025-3-28 02:33:43 | 只看該作者
Ludwig Hempele consider both homogeneous and heterogeneous client data scenarios, including scenarios where training on the aggregated data is suboptimal due to biases in the data. In addition to deep learning methods, we cover unsupervised settings such as mixture models, topic models, and hidden Markov models.
39#
發(fā)表于 2025-3-28 08:02:20 | 只看該作者
40#
發(fā)表于 2025-3-28 13:36:14 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 03:02
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
囊谦县| 阿勒泰市| 竹北市| 贵州省| 伊宁县| 山东省| 搜索| 阿坝| 红安县| 紫阳县| 徐汇区| 迭部县| 淮南市| 古浪县| 建平县| 措美县| 铁岭市| 上思县| 台中市| 九江市| 保山市| 精河县| 扬州市| 惠来县| 青龙| 临夏市| 上高县| 巨野县| 柏乡县| 明水县| 恩施市| 孟州市| 武隆县| 丹凤县| 石柱| 沙田区| 英德市| 东平县| 宁国市| 东阿县| 顺平县|