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Titlebook: Ownership, Narrative, Things; Dave Cowan,Helen Carr,Alison Wallace Book 2018 The Editor(s) (if applicable) and The Author(s) 2018 intervie

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樓主: Monroe
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發(fā)表于 2025-3-27 00:16:13 | 只看該作者
32#
發(fā)表于 2025-3-27 01:15:27 | 只看該作者
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發(fā)表于 2025-3-27 06:30:10 | 只看該作者
Managing Shared Ownership,e that property in the future. There are well-defined techniques for managing social rented housing, which have developed over the last century. Some social housing providers also had a stock of (non-shared ownership) long leasehold properties, the management of which they might have taken on, for e
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發(fā)表于 2025-3-27 10:55:42 | 只看該作者
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發(fā)表于 2025-3-27 16:06:28 | 只看該作者
Experiencing Shared Ownership,rship and where they “fit” within it. As we demonstrated in Chap. ., ownership is a complex and undulating concept in theory. One of the questions in our study was where it stopped and other’s responsibilities started. Shared ownership is a complex product. As we noted in Chaps. . and ., although bu
36#
發(fā)表于 2025-3-27 19:48:20 | 只看該作者
Assembling Shared Ownership,yers we interviewed. In these narratives, complex stories are told about ownership, as “merchants of morality” (Goffman 1956: 253), and about what Paul Watt has described as “selective belonging”, a “spatially uneven sense of belonging and attachment” (2009: 2888; see also Jackson and Benson 2014).
37#
發(fā)表于 2025-3-28 01:26:59 | 只看該作者
F?lle und Aufgaben zum Sozialrechtllection of . that are produced by the speakers of a linguistic community during the course of their interactions with other speakers of the same community. This is analogous to the . view of a thermodynamic system, where every utterance and its corresponding context contributes to the identity of t
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發(fā)表于 2025-3-28 04:25:55 | 只看該作者
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發(fā)表于 2025-3-28 06:48:15 | 只看該作者
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發(fā)表于 2025-3-28 12:11:52 | 只看該作者
VMEKNet: Visual Memory and?External Knowledge Based Network for?Medical Report Generationter that, a standard Transformer processes the image features and text features then generates full medical reports. Experimental results on benchmark datasets, IU X-Ray, have demonstrated that our proposed model outperforms previous works on both natural language generation metrics and practical clinical diagnosis.
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