Working classOrganizingMobilizingDisruptive powerSocial movementsSouth AfricaPurpose: The paper argues that the field of social movement studies has been dominated by a movement organisation-centric approach. This organisational bias has constrained the analysis of collective action, especially in the Global ...
Where the former lacks class analysis, the latter tends to miss out human agency, motivation and desire. Rather, according to Binnie, culture and economy constitute each other and should be studied together when examining the production of sexual identities, cultures and communities. Failing to ...
However, studies tend to be of poor quality with a lack of statistical power, use of non-standardised measures, inconsistent outcome measures, high attrition rates, sampling bias oriented to white, middle-class participants and a lack of clarity as to whether carers and patients/clients had any...
A confusion matrix is a table where each row represents the instances in a predicted class, while each column represents the instances in the observed class, allowing mislabelled epochs to be easily identified. The confusion matrix was then finally used to compute four specific accuracy metrics—...
In this chapter, I demonstrate the importance of gendered notions of good and bad parenthood for how parents talk about care for children after divorce. In this study, the child welfare discourse seems to be nearly universal, present in all three countri
1997. Between Class and Market: Postwar Unionization in the Capitalist Democra- cies. Princeton, NJ: Princeton University Press. Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which ...
In addition, it relies on assumptions that are too restrictive, particularly in the case of latent variable separation. Extending PCA to nonlinear models remains an appealing challenge. As for nonlinear models, methods like Self-Organising Maps (SOM) are best applicable to this class. This method...
In addition, it relies on assumptions that are too restrictive, particularly in the case of latent variable separation. Extending PCA to nonlinear models remains an appealing challenge. As for nonlinear models, methods like Self-Organising Maps (SOM) are best applicable to this class. This method...
In addition, it relies on assumptions that are too restrictive, particularly in the case of latent variable separation. Extending PCA to nonlinear models remains an appealing challenge. As for nonlinear models, methods like Self-Organising Maps (SOM) are best applicable to this class. This method...
One of the key advantages of SOMs is that they generate a non-linear classification through an iterative process that rewards the winning class and its closest neighbours, while inhibiting those further away. During the training process, the clusters are organised into a grid that best reduces ...