You get what you pay for : independent music and Canadian public policy

The aim of this MA thesis is to demonstrate how corporate concentration within the global music industry specifically affects the Canadian music industry's ability to compete for its own national audience as well as audiences worldwide. Federal public policies, regulatory regimes and subsidies are considered within the context of the structure of the global marketplace which is, in effect, an oligopoly controlled by four major corporations. Through an extensive literature review of political economy theory, Canadian public policies and music studies, as well as personal interviews conducted with Canadian musicians, entrepreneurs and public servants, I will situate my research within the body of political economy theory; present a detailed report of the structure of the global music industry; address the key players within the industry; describe the relationship between the major corporations and the independent companies operating in the industry; discuss how new technologies affect said relationships; consider the effectiveness of Canadian public policies in safeguarding the national music industry; and recommend steps that can be taken to remedy the shortcomings of Federal policies and regulatory regimes.

The impact of integrated programming on student attitude and achievement in grade 9 academic mathematics and science

This research studioo the effect of integrated instruction in mathematics and~ science on student achievement in and attitude towards both mathematics and science. A group of grade 9 academic students received instruction in both science and mathematics in an integrated program specifically developed for the purposes of the research. This group was compared to a control group that had received science and mathematics instruction in a traditional, nonintegrated program. The findings showed that in all measures of attitude, there was no significant difference between the students who participated in the integrated science and mathematics program and those who participated in a traditional science and mathematics program. The findings also revealed that integration did improve achievement on some of the measures used. The performance on mathematics open-ended problem-solving tasks improved after participation in the integrated program, suggesting that the integrated students were better able to apply their understanding of mathematics in a real-life context. The performance on the final science exam was also improved for the integrated group. Improvement was not noted on the other measures, which included EQAO scores and laboratory practical tasks. These results raise the issue of the suitability of the instruments used to gauge both achievement and attitude. The accuracy and suitability of traditional measures of achievement are considered. It is argued that they should not necessarily be used as the measure of the value of integrated instruction in a science and mathematics classroom.

Winâ Foy : functional object-oriented programming language

This thesis will introduce a new strongly typed programming language utilizing Self types, named Win--*Foy, along with a suitable user interface designed specifically to highlight language features. The need for such a programming language is based on deficiencies found in programming languages that support both Self types and subtyping. Subtyping is a concept that is taken for granted by most software engineers programming in object-oriented languages. Subtyping supports subsumption but it does not support the inheritance of binary methods. Binary methods contain an argument of type Self, the same type as the object itself, in a contravariant position, i.e. as a parameter. There are several arguments in favour of introducing Self types into a programming language (11. This rationale led to the development of a relation that has become known as matching [4, 5). The matching relation does not support subsumption, however, it does support the inheritance of binary methods. Two forms of matching have been proposed (lJ. Specifically, these relations are known as higher-order matching and I-bound matching. Previous research on these relations indicates that the higher-order matching relation is both reflexive and transitive whereas the f-bound matching is reflexive but not transitive (7]. The higher-order matching relation provides significant flexibility regarding inheritance of methods that utilize or return values of the same type. This flexibility, in certain situations, can restrict the programmer from defining specific classes and methods which are based on constant values [21J. For this reason, the type This is used as a second reference to the type of the object that cannot, contrary to Self, be specialized in subclasses. F-bound matching allows a programmer to define a function that will work for all types of A', a subtype of an upper bound function of type A, with the result type being dependent on A'. The use of parametric polymorphism in f-bound matching provides a connection to subtyping in object-oriented languages. This thesis will contain two main sections. Firstly, significant details concerning deficiencies of the subtype relation and the need to introduce higher-order and f-bound matching relations into programming languages will be explored. Secondly, a new programming language named Win--*Foy Functional Object-Oriented Programming Language has been created, along with a suitable user interface, in order to facilitate experimentation by programmers regarding the matching relation. The construction of the programming language and the user interface will be explained in detail.

Steeltown scene : genre, performance and identity in the alternative independent music scene in Hamilton, Ontario

This thesis examines the independent alternative music scene in the city of Hamilton, Ontario, also known, with reference to its industrial heritage, as "Steeltown." Drawing on the growing literature on the relationship between place and popular music, on my own experience as a local musician, direct observation of performances and of venues and other sites of interaction, as well as ethnographic interviews with scene participants, I focus on the role of space, genre and performance within the scene, and their contribution to a sense of local identity. In particular, I argue that the live performance event is essential to the success of the local music scene, as it represents an immediate process, a connection between performers and audience, one which is temporally rooted in the present. My research suggests that the Hamilton alternative music scene has become postmodern, embracing forms of "indie" music that lie outside of mainstream taste, and particularly those which engage in the exploration and deconstruction of pre-existing genres. Eventually, however, the creative successes of an "indiescene" permeate mass culture and often become co-opted into the popular music mainstream, a process which, in turn, promotes new experimentation and innovation at the local level.

Genetic programming for the RoboCup Rescue Simulation System

The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged with the tasks of minimizing civilian casualties and infrastructure damage while competing against limitations on time, communication, and awareness. This thesis provides the first known attempt of applying Genetic Programming (GP) to the development of behaviours necessary to perform well in the RCRSS. Specifically, this thesis studies the suitability of GP to evolve the operational behaviours required of each type of rescue agent in the RCRSS. The system developed is evaluated in terms of the consistency with which expected solutions are the target of convergence as well as by comparison to previous competition results. The results indicate that GP is capable of converging to some forms of expected behaviour, but that additional evolution in strategizing behaviours must be performed in order to become competitive. An enhancement to the standard GP algorithm is proposed which is shown to simplify the initial search space allowing evolution to occur much quicker. In addition, two forms of population are employed and compared in terms of their apparent effects on the evolution of control structures for intelligent rescue agents. The first is a single population in which each individual is comprised of three distinct trees for the respective control of three types of agents, the second is a set of three co-evolving subpopulations one for each type of agent. Multiple populations of cooperating individuals appear to achieve higher proficiencies in training, but testing on unseen instances raises the issue of overfitting.

Bradley Institute of Music fonds

1.23 m. textual records, 1 col. post card, 1 b&w post card, 116 col. photographs, 59 b&w photographs, 6 negatives, 1 metal logo, 2 photo cuts, 7 woodcuts, 1 VHS tape, 1 stamp/press, 1 guest book, 5 account books

Automatic Structure Generation using Genetic Programming and Fractal Geometry

Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.

A stochastic dynamic programming approach for pricing options on stock-index futures

The aim of this thesis is to price options on equity index futures with an application to standard options on S&P 500 futures traded on the Chicago Mercantile Exchange. Our methodology is based on stochastic dynamic programming, which can accommodate European as well as American options. The model accommodates dividends from the underlying asset. It also captures the optimal exercise strategy and the fair value of the option. This approach is an alternative to available numerical pricing methods such as binomial trees, finite differences, and ad-hoc numerical approximation techniques. Our numerical and empirical investigations demonstrate convergence, robustness, and efficiency. We use this methodology to value exchange-listed options. The European option premiums thus obtained are compared to Black's closed-form formula. They are accurate to four digits. The American option premiums also have a similar level of accuracy compared to premiums obtained using finite differences and binomial trees with a large number of time steps. The proposed model accounts for deterministic, seasonally varying dividend yield. In pricing futures options, we discover that what matters is the sum of the dividend yields over the life of the futures contract and not their distribution.

Leaf from a Liturgical Music Manuscript for Holy Saturday

The text reads as follows: nomen Domini invocabo. V. Date magnitudinem Deo nostro: Deus, vera opera eius, et omnes viae eius indicia. V. Deus fidelis, in quo….. Translated: I will invoke the name of the Lord. V. Give ye magnificence to our God: The works of God are perfect, and all his ways are judgments. V. Let my doctrine gather as the rain…..

Leaf from a Liturgical Music Manuscript for Good Friday

The text reads as follows: Narrator: Passio domini nostri iesu christi secundum matheum. In illo tempore dixit iusus discipulis suis. Christ: Scritis quia post biduum pascha fiet, et filius hominis tradetur ut crucifigatur. Narrator: Tumc congregati sunt principes sacerdotum et seniores populi, in atrium principis… Translated: Narrator: The Passion of Our Lord Jesus Christ according to Matthew. “And it came to pass when Jesus had finished all of these words that he said to his disciples: Christ: You know that after two days the Passover will be here; and the Son of Man will be delivered up to be crucified. Narrator: Then the chief priests and the elders of the people gathered together in the court of the high priest…

"I'm Your Biggest Fan, I'll Follow You ... " Lady Gaga, Little Monsters and the Religious Dimension of Fandom in Pop Music

This thesis examines the religious dimension of fandom in popular music, taking as an object of reflection Lady Gaga and her fans. I combine fan studies with theories of immanence as well as Deleuze and Guattari's notion of the process of becoming, and provide a theoretical reading of the relationship between Lady Gaga and her most fervent fans, the 'little monsters.' Both fandom and religion promise a stable sense of identity and authentic community to devotees. Performing deconstructive discourse analysis on three of Lady Gaga's music videos, I demonstrate how fandom, like organized religion, can simultaneously be an emancipatory practice and a practice that seeks to deny individual subjects their agency. This thesis provides a new theoretical framework for understanding fandom, and illustrates how the purported benefits of both fandom and religion can only be gained when the figureheads of each group are symbolically destroyed by the members themselves.

Genetic Programming for Non-Photorealistic Rendering

This thesis focuses on developing an evolutionary art system using genetic programming. The main goal is to produce new forms of evolutionary art that filter existing images into new non-photorealistic (NPR) styles, by obtaining images that look like traditional media such as watercolor or pencil, as well as brand new effects. The approach permits GP to generate creative forms of NPR results. The GP language is extended with different techniques and methods inspired from NPR research such as colour mixing expressions, image processing filters and painting algorithm. Colour mixing is a major new contribution, as it enables many familiar and innovative NPR effects to arise. Another major innovation is that many GP functions process the canvas (rendered image), while is dynamically changing. Automatic fitness scoring uses aesthetic evaluation models and statistical analysis, and multi-objective fitness evaluation is used. Results showed a variety of NPR effects, as well as new, creative possibilities.

Automatic Inference of Graph Models for Complex Networks with Genetic Programming

Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex networks are ubiquitous, but are currently poorly understood. A number of algorithms, designed by humans, have been proposed to describe the organizational behaviour of real-world networks. Consequently, breakthroughs in genetics, medicine, epidemiology, neuroscience, telecommunications and the social sciences have recently resulted. The algorithms, called graph models, represent significant human effort. Deriving accurate graph models is non-trivial, time-intensive, challenging and may only yield useful results for very specific phenomena. An automated approach can greatly reduce the human effort required and if effective, provide a valuable tool for understanding the large decentralized systems of interrelated things around us. To the best of the author's knowledge this thesis proposes the first method for the automatic inference of graph models for complex networks with varied properties, with and without community structure. Furthermore, to the best of the author's knowledge it is the first application of genetic programming for the automatic inference of graph models. The system and methodology was tested against benchmark data, and was shown to be capable of reproducing close approximations to well-known algorithms designed by humans. Furthermore, when used to infer a model for real biological data the resulting model was more representative than models currently used in the literature.

Passive Solar Building Design Using Genetic Programming

Passive solar building design is the process of designing a building while considering sunlight exposure for receiving heat in winter and rejecting heat in summer. The main goal of a passive solar building design is to remove or reduce the need of mechanical and electrical systems for cooling and heating, and therefore saving energy costs and reducing environmental impact. This research will use evolutionary computation to design passive solar buildings. Evolutionary design is used in many research projects to build 3D models for structures automatically. In this research, we use a mixture of split grammar and string-rewriting for generating new 3D structures. To evaluate energy costs, the EnergyPlus system is used. This is a comprehensive building energy simulation system, which will be used alongside the genetic programming system. In addition, genetic programming will also consider other design and geometry characteristics of the building as search objectives, for example, window placement, building shape, size, and complexity. In passive solar designs, reducing energy that is needed for cooling and heating are two objectives of interest. Experiments show that smaller buildings with no windows and skylights are the most energy efficient models. Window heat gain is another objective used to encourage models to have windows. In addition, window and volume based objectives are tried. To examine the impact of environment on designs, experiments are run on five different geographic locations. Also, both single floor models and multi-floor models are examined in this research. According to the experiments, solutions from the experiments were consistent with respect to materials, sizes, and appearance, and satisfied problem constraints in all instances.

Music Program for St. Mark's Church "Song of the Bell" - 1884

A musical program for a concert at Music Hall Niagara for the St. Marks' Church organ fund. The program consists of 27 numbers from Schiller's "Song of the Bell. The event is dated Thursday, April 17th, 1884 and admission is 25 cents, 15 cents for children.