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Titlebook: Gender and Political Recruitment; Theorizing Instituti Meryl Kenny Book 2013 Palgrave Macmillan, a division of Macmillan Publishers Limited

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31#
發(fā)表于 2025-3-27 00:59:10 | 只看該作者
32#
發(fā)表于 2025-3-27 02:20:24 | 只看該作者
33#
發(fā)表于 2025-3-27 05:27:38 | 只看該作者
A Feminist Institutionalist Approach,litical science has taken a decidedly institutional turn, moving gradually from a focus on ‘women . politics’ to ‘gender . politics’. A gendered focus shifts the emphasis from ‘. to . political institutions’, highlighting the ways in which political institutions reflect, structure and reinforce gend
34#
發(fā)表于 2025-3-27 12:53:43 | 只看該作者
Political Recruitment in Post-Devolution Scotland,erstand change in the political recruitment process post-devolution. Devolution in Scotland brought with it new and unprecedented opportunities for gendered institutional innovation in the candidate selection process. For all of the Scottish political parties, a clean slate of candidacies with no in
35#
發(fā)表于 2025-3-27 15:43:34 | 只看該作者
36#
發(fā)表于 2025-3-27 19:46:12 | 只看該作者
The Story of a Selection,ction contest in the run-up to the 2007 Scottish Parliament elections. It begins by briefly introducing the key ‘players’, identifying the main central, regional and local actors and organizations involved in the candidate selection process. The chapter then turns to the micro-level case study and t
37#
發(fā)表于 2025-3-28 01:12:22 | 只看該作者
Applying a Feminist Institutionalist Lens,vel case study. Drawing on the insights of feminist and new institutional theory, it suggests that the candidate selection process remains a tense battleground post-1999. Evidence from the case study highlights ongoing tensions and contradictions in the political recruitment process in the Scottish
38#
發(fā)表于 2025-3-28 03:41:32 | 只看該作者
Rethinking Political Recruitment,t process. It develops a critique of the dominant framework used in studies of gender and political recruitment — the supply and demand model — and contends that a feminist institutionalist approach offers a way to take the model forward, building on key themes already present, but often underdevelo
39#
發(fā)表于 2025-3-28 07:30:21 | 只看該作者
40#
發(fā)表于 2025-3-28 12:53:48 | 只看該作者
Leaf Area Index,analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs). Unlike existing neural network methods that use remote sensing data acquired only at a specific time to retrieve LAI, the GRNNs used
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