Since the first democratic election in 1994, the South African labour force has undergone various changes. As a result, a number of laws were implemented, which helped ensure the diverse nature of the South African labour force. Within a diverse workforce, stereotypes are more likely to occur, which is also the focus of the present study. This study explored not only the meaning and origin of stereotypes but also the prevalent stereotypes and the manner in which employees experience these within the South African mining industry. A qualitative research design from a combined phenomenological and hermeneutic approach was used for the purpose of this study by following a case-study strategy. A combination of both purposive and convenience sampling was used and participants’ responses were obtained by making use of semi-structured interviews. The population consisted of participants (N = 15) from different departments within a particular organisation in the mining industry in South Africa. The representation of the population was diverse and included male, female, various age groups, and different racial groups. Interviews were transcribed and thematic analysis was used to analyse the data. Themes, sub-themes, and characteristics were extracted from the data and direct quotations of participants’ responses were analysed to support the findings. It was found that participants of this study are aware of and understand the meaning of stereotypes. Generalisation was the most prominent theme that was evident when asking participants about the meaning of stereotype. During the study it became clear that stereotypes exist within the mining industry and that individuals do entertain stereotypes of other individuals employed in this industry (out-groups), and also about themselves (in-group). The most prominent in-group stereotypes that individuals experienced are racially oriented. These stereotypes were experienced by White individuals, Black individuals and Coloured individuals, and it was mostly negative. The most prominent out-group stereotypes that individuals hold of others in their workplace were found to be occupational stereotypes. During the present study most stereotypes turned out to be negative in nature. Findings of this study also indicated that employees experience stereotypes on three levels, namely emotional, cognitive and behavioural. Participants of this study experienced stereotypes mostly on an emotional level. The study’s findings did show various origins of stereotypes and participants indicated that it originated mostly from secondary exposure. In these instances influences can be a result of factors such as affirmative action, apartheid, social interaction and upbringing. To conclude the study, recommendations were made for future research and practice in an industry with a diverse workforce. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2015

Since the first democratic election in 1994, the South African labour force has undergone various changes. As a result, a number of laws were implemented, which helped ensure the diverse nature of the South African labour force. Within a diverse workforce, stereotypes are more likely to occur, which is also the focus of the present study. This study explored not only the meaning and origin of stereotypes but also the prevalent stereotypes and the manner in which employees experience these within the South African mining industry. A qualitative research design from a combined phenomenological and hermeneutic approach was used for the purpose of this study by following a case-study strategy. A combination of both purposive and convenience sampling was used and participants’ responses were obtained by making use of semi-structured interviews. The population consisted of participants (N = 15) from different departments within a particular organisation in the mining industry in South Africa. The representation of the population was diverse and included male, female, various age groups, and different racial groups. Interviews were transcribed and thematic analysis was used to analyse the data. Themes, sub-themes, and characteristics were extracted from the data and direct quotations of participants’ responses were analysed to support the findings. It was found that participants of this study are aware of and understand the meaning of stereotypes. Generalisation was the most prominent theme that was evident when asking participants about the meaning of stereotype. During the study it became clear that stereotypes exist within the mining industry and that individuals do entertain stereotypes of other individuals employed in this industry (out-groups), and also about themselves (in-group). The most prominent in-group stereotypes that individuals experienced are racially oriented. These stereotypes were experienced by White individuals, Black individuals and Coloured individuals, and it was mostly negative. The most prominent out-group stereotypes that individuals hold of others in their workplace were found to be occupational stereotypes. During the present study most stereotypes turned out to be negative in nature. Findings of this study also indicated that employees experience stereotypes on three levels, namely emotional, cognitive and behavioural. Participants of this study experienced stereotypes mostly on an emotional level. The study’s findings did show various origins of stereotypes and participants indicated that it originated mostly from secondary exposure. In these instances influences can be a result of factors such as affirmative action, apartheid, social interaction and upbringing. To conclude the study, recommendations were made for future research and practice in an industry with a diverse workforce. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2015

In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), but are considered black boxes with regard to interpretability. There is currently no simple a priori method to determine the number of hidden neurons in each of the hidden layers of ANNs. Guidelines exist that are either heuristic or based on simulations that are derived from limited experiments. A modified version of the neural network construction with cross–validation samples (N2C2S) algorithm is therefore implemented and utilized to construct good MLP models. This algorithm enables the comparison with GANN models. GANNs are a relatively new type of ANN, based on the generalized additive model. The architecture of a GANN is less complex compared to MLPs and results can be interpreted with a graphical method, called the partial residual plot. A GANN consists of an input layer where each of the input nodes has its own MLP with one hidden layer. Originally, GANNs were constructed by interpreting partial residual plots. This method is time consuming and subjective, which may lead to the creation of suboptimal models. Consequently, an automated construction algorithm for GANNs was created and implemented in the SAS R statistical language. This system was called AutoGANN and is used to create good GANN models. A number of experiments are conducted on five publicly available data sets to gain insight into the similarities and differences between GANN and MLP models. The data sets include regression and classification tasks. In–sample model selection with the SBC model selection criterion and out–of–sample model selection with the average validation error as model selection criterion are performed. The models created are compared in terms of predictive accuracy, model complexity, comprehensibility, ease of construction and utility. The results show that the choice of model is highly dependent on the problem, as no single model always outperforms the other in terms of predictive accuracy. GANNs may be suggested for problems where interpretability of the results is important. The time taken to construct good MLP models by the modified N2C2S algorithm may be shorter than the time to build good GANN models by the automated construction algorithm / Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2011.

In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), but are considered black boxes with regard to interpretability. There is currently no simple a priori method to determine the number of hidden neurons in each of the hidden layers of ANNs. Guidelines exist that are either heuristic or based on simulations that are derived from limited experiments. A modified version of the neural network construction with cross–validation samples (N2C2S) algorithm is therefore implemented and utilized to construct good MLP models. This algorithm enables the comparison with GANN models. GANNs are a relatively new type of ANN, based on the generalized additive model. The architecture of a GANN is less complex compared to MLPs and results can be interpreted with a graphical method, called the partial residual plot. A GANN consists of an input layer where each of the input nodes has its own MLP with one hidden layer. Originally, GANNs were constructed by interpreting partial residual plots. This method is time consuming and subjective, which may lead to the creation of suboptimal models. Consequently, an automated construction algorithm for GANNs was created and implemented in the SAS R statistical language. This system was called AutoGANN and is used to create good GANN models. A number of experiments are conducted on five publicly available data sets to gain insight into the similarities and differences between GANN and MLP models. The data sets include regression and classification tasks. In–sample model selection with the SBC model selection criterion and out–of–sample model selection with the average validation error as model selection criterion are performed. The models created are compared in terms of predictive accuracy, model complexity, comprehensibility, ease of construction and utility. The results show that the choice of model is highly dependent on the problem, as no single model always outperforms the other in terms of predictive accuracy. GANNs may be suggested for problems where interpretability of the results is important. The time taken to construct good MLP models by the modified N2C2S algorithm may be shorter than the time to build good GANN models by the automated construction algorithm / Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2011.

In this research report the estate implications for a marriage or civil partnership, entered into in terms of the Civil Union Act, are identified by determining the impact thereof and whether or not there are any differences with regard to the estate implications of a traditional marriage. The Civil Union Act came into effect to give legality to the relationship between homosexual couples by providing the option to conclude a marriage or civil partnership. Both of these institutions thus have the same legal consequences. According to Section 13 of the Civil Union Act the implications of the Marriage Act also apply to the Civil Union Act. The feasibility of this principle is not taken into account regarding estate implications. Since a marriage and civil partnership in terms of the Civil Union Act differs from a traditional marriage, it leads to uncertainty with regard to the application of this principle. This uncertainty and estate implications are the topic of this study. The total effect of the Civil Union Act is not discussed in the Civil Union Act, but rather consists of references to other legislation. Consequently the specific estate implications for a marriage or civil partnership, entered into in terms of the Civil Union Act, are discussed with specific focus on marriage regimes, maintenance, purchasing of household necessities, donations and tax benefits. Both the position before and after the Civil Union Act are considered. Firstly marriage regimes are discussed since it is the first step in identifying estate implications for the marriage or civil partnership. Maintenance is considered a direct result of a marriage and is referred to in many laws. It is therefore necessary to discuss the content of the legislation and whether or not it is compatible with the Civil Union Act. The buying of household necessities, donations and tax benefits has a unique effect on a marriage and the focus in this study is on the effect it has on a marriage and civil partnership entered into in terms of the Civil Union Act. The conclusion is that this research report will provide clarity on what exactly the estate implications are for parties who have married or concluded a civil partnership in terms of the Civil Union Act. / LLM (Estate Law), North-West University, Potchefstroom Campus, 2014

In this research report the estate implications for a marriage or civil partnership, entered into in terms of the Civil Union Act, are identified by determining the impact thereof and whether or not there are any differences with regard to the estate implications of a traditional marriage. The Civil Union Act came into effect to give legality to the relationship between homosexual couples by providing the option to conclude a marriage or civil partnership. Both of these institutions thus have the same legal consequences. According to Section 13 of the Civil Union Act the implications of the Marriage Act also apply to the Civil Union Act. The feasibility of this principle is not taken into account regarding estate implications. Since a marriage and civil partnership in terms of the Civil Union Act differs from a traditional marriage, it leads to uncertainty with regard to the application of this principle. This uncertainty and estate implications are the topic of this study. The total effect of the Civil Union Act is not discussed in the Civil Union Act, but rather consists of references to other legislation. Consequently the specific estate implications for a marriage or civil partnership, entered into in terms of the Civil Union Act, are discussed with specific focus on marriage regimes, maintenance, purchasing of household necessities, donations and tax benefits. Both the position before and after the Civil Union Act are considered. Firstly marriage regimes are discussed since it is the first step in identifying estate implications for the marriage or civil partnership. Maintenance is considered a direct result of a marriage and is referred to in many laws. It is therefore necessary to discuss the content of the legislation and whether or not it is compatible with the Civil Union Act. The buying of household necessities, donations and tax benefits has a unique effect on a marriage and the focus in this study is on the effect it has on a marriage and civil partnership entered into in terms of the Civil Union Act. The conclusion is that this research report will provide clarity on what exactly the estate implications are for parties who have married or concluded a civil partnership in terms of the Civil Union Act. / LLM (Estate Law), North-West University, Potchefstroom Campus, 2014