The purpose of this study was to identify factors that influence leadership and its distribution in the Arab Bureau of Education for the Gulf States (ABEGS) Saudi Arabia. The research was undertaken in the ABEGS as a case study and its two initiatives, the Gulf Arab States Educational Research Centre (GASERC) Kuwait, and the Arab Educational Training Centre for Gulf States (AETCGS) Qatar respectively. The findings of this study reveal that the leadership in this interorganizational environment is distributed within the four levels of organizational structures. The visionary leadership comes from the inner most core political level that has its influence and direction at the strategic, managerial, and operational levels of the organization. . Based on extensive research of Leithwood and his colleagues, this study will integrate four leadership functions of setting directions, structuring the organization, developing capacity, and managing the (partnership) program into the analysis of interorganizational partnerships. The study also examined ‘securing accountability’ as another important leadership function in the partnership environment. I learnt that multiple factors influence leadership and enable different individuals and groups to perform these functions at the strategic, managerial and operational levels of the interorganizational structures. However, the major influence on leadership that weaves through the strategic level to the grassroots levels is the consultative process embedded in the organizational structures of the Arab Bureau. Some other prominent factors that influence leadership found in the study are positional power in the hierarchy, experience and knowledge, and dedication and commitment. Researchers like Benson, Mawhiney, Kickert, Proven, and Rodríguez, explored interorganizational partnerships and view the structures of leadership either vertically centralized or horizontally distributive. I argue that interorganizational leadership works horizontally at each level of the partnership i.e. strategic, managerial, and operational and vertically between these levels in the ABEGS partnership as shown in the ‘Circular Model of Interorganizational Leadership’ of this study. The leaders at various levels in the Arab Bureau from the member states function as equals. However, firm vertical hierarchy exists between various levels in the structures of the ABEGS. It is therefore established that horizontal and vertical leadership work simultaneously in interorganizational partnership environments as found in the case study of the Arab Bureau.

The purpose of this study was to identify factors that influence leadership and its distribution in the Arab Bureau of Education for the Gulf States (ABEGS) Saudi Arabia. The research was undertaken in the ABEGS as a case study and its two initiatives, the Gulf Arab States Educational Research Centre (GASERC) Kuwait, and the Arab Educational Training Centre for Gulf States (AETCGS) Qatar respectively. The findings of this study reveal that the leadership in this interorganizational environment is distributed within the four levels of organizational structures. The visionary leadership comes from the inner most core political level that has its influence and direction at the strategic, managerial, and operational levels of the organization. . Based on extensive research of Leithwood and his colleagues, this study will integrate four leadership functions of setting directions, structuring the organization, developing capacity, and managing the (partnership) program into the analysis of interorganizational partnerships. The study also examined ‘securing accountability’ as another important leadership function in the partnership environment. I learnt that multiple factors influence leadership and enable different individuals and groups to perform these functions at the strategic, managerial and operational levels of the interorganizational structures. However, the major influence on leadership that weaves through the strategic level to the grassroots levels is the consultative process embedded in the organizational structures of the Arab Bureau. Some other prominent factors that influence leadership found in the study are positional power in the hierarchy, experience and knowledge, and dedication and commitment. Researchers like Benson, Mawhiney, Kickert, Proven, and Rodríguez, explored interorganizational partnerships and view the structures of leadership either vertically centralized or horizontally distributive. I argue that interorganizational leadership works horizontally at each level of the partnership i.e. strategic, managerial, and operational and vertically between these levels in the ABEGS partnership as shown in the ‘Circular Model of Interorganizational Leadership’ of this study. The leaders at various levels in the Arab Bureau from the member states function as equals. However, firm vertical hierarchy exists between various levels in the structures of the ABEGS. It is therefore established that horizontal and vertical leadership work simultaneously in interorganizational partnership environments as found in the case study of the Arab Bureau.

Music mood recognition by machine continues to attract attention from both academia and industry. This thesis explores the hypothesis that the music emotion problem is circular, and is a primary step in determining the efficacy of circular regression as a machine learning method for automatic music mood recognition. This hypothesis is tested through experiments conducted using instances of the two commonly accepted models of affect used in machine learning (categorical and two-dimensional), as well as on an original circular model proposed by the author. Polygonal approximations of circular regression are proposed as a practical way to investigate whether the circularity of the annotations can be exploited. An original dataset assembled and annotated for the models is also presented. Next, the architecture and implementation choices of all three models are given, with an emphasis on the new polygonal approximations of circular regression. Experiments with different polygons demonstrate consistent and in some cases significant improvements over the categorical model on a dataset containing ambiguous extracts (ones for which the human annotators did not fully agree upon). Through a comprehensive analysis of the results, errors and inconsistencies observed, evidence is provided that mood recognition can be improved if approached as a circular problem. Finally, a proposed multi-tagging strategy based on the circular predictions is put forward as a pragmatic method to automatically annotate music based on the circular model. / Graduate / 0984 / 0800 / 0413 / zazz101@hotmail.com