Towards the development of a questionnaire of post transgression motives and behaviours /

The primary purpose of this study was to develop a questionnaire that assesses both forgiveness-seeking motives and behaviours. This questionnaire was based on the premise that, following the commitment of an offense in the context of a relationship, a perpetrator will be motivated to reduce the damage that has taken place. The . ' questionnaire examined several motives that a perpetrator might have for seeking forgiveness. These motives were divided into five proposed domains of posttransgression concerns: God, Self, Victim, Others/Society, and Relationship. Within these domains, the following more specific types of concern were explored: Avoidance of punishment, concern about public image, emotional well-being, self-image, sense of fairness/justice, loss of relationship, loss or gain of power, and loss of ability to trust. The questionnaire also assessed which behaviours (approach and avoidance) a perpetrator might use in order to address these concerns. In addition, this study explored whether or not the severity of the situation and the personality of the perpetrator influenced post transgression motives and behaviours. Participants were 221 individuals from the community and Brock University. They filled out a questionnaire package that assessed personality traits, social desirability, and forgiveness-seeking motives and behaviours. In order to answer items assessing motives and behaviours, participants were asked to imagine themselves as perpetrators in three hypothetical transgression scenarios. These scenarios ranged in severity fi^om low to high. Participants were asked to rate their motives and behaviours both in an immediate time frame (immediately following the transgression) and in the long-term (in order to move on from the situation). Results indicated that the motivation items could be classified into the following subscales:Concern about God, Damaged Self-worth Concerns, Justice Concerns, Impression Management Concerns, Victim and Others Concerns, and Relationship Concerns. The behaviour items formed the following subscales: Approach, Avoidance, Denial and Hiding, and Groveling. Results also indicated differences in motivations and behaviours based on the severity of the situation as well as the personality (assessed using the HEXACO inventory) of the perpetrator.

Exploring Chinese-Canadians' perspectives on health : a quantitative study

Chinese have unique perspectives on health and illness, which is mostly umecognized by western medicine. Immigration may contribute to problems with health consultations, inconvenience, and dissatisfaction. As the largest visible minority in Canada, Chinese- Canadians' perspectives on health should be studied in order to help Chinese immigrants adapt to a new health-care and health-promotion system, and keep them healthy. A quantitative questionnaire was designed based on the findings from a pilot study and previous literature. A hundred participants were recruited from Toronto, Vancouver, Halifax, and St. Catharines. Descriptive analysis and correlation analysis were used to investigate the structure of the variables. Findings indicated that most oftheir attitudes and corresponding practices to the different health aspects were positive. The relation between dietary practices and attitude was only found in small cities. Their attitudes were impacted by their length of stay in Canada. Their attitudes to regularly timed meals and psychological consultation were related to their acculturation level, as was the regularity of their practice of dental flossing. Their self-evaluated general health levels were also found to be affected by their medical history, education level, feeling to talk about • sexual health, and smoking, particularly in the male subjects of the study. In conclusion, they realized that each health aspect w~s important to their health. However, their practices did not bear a strong relation to their beliefs. Traditional thoughts about health reseeded with time. Acculturation level did not affect most of their attitudes or practices. Under pressure, the priority of the daily health practices decreased. Older persons, those with low incomes, lower education levels or families under stress need to pay more attention to their health level. In-depth future research was recommended.

The practical application of a meta-analysis of deinstitutionalization : adaptive behaviour outcomes and the piloting of a transitional questionnaire for adults with intellectual disabilities

This investigation examined the effects of de institutionalization on the adaptive behaviour and adjustment of adults with intellectual disabilities (ID). In study 1, a meta-analysis was conducted with 23 studies on deinstitutionalization adaptive behaviour outcomes. Deinstitutionalization was associated with modest improvements in adaptive behaviour however outcomes varied across adaptive behaviour domains and other substantive variables. Clinical and service implications of these results were explicated. Noting the trends from the meta-analysis, study 2 used this information in refining and piloting an Agency Transition Survey used to evaluate community transitions for persons with ID. Information derived from the survey was found to be valuable and adequate for the effective evaluation of transitional success. Potential applications of the survey and meta-analysis results were illustrated.

Thoughts upon the conduct of our administration in relation both to Great Britain and France, more especially in reference to the late negotiation, concerning the attack on the Chesapeake

Printed at the Repertory Office

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.

Automatic evolution of conceptual building architectures

This thesis describes research in which genetic programming is used to automatically evolve shape grammars that construct three dimensional models of possible external building architectures. A completely automated fitness function is used, which evaluates the three dimensional building models according to different geometric properties such as surface normals, height, building footprint, and more. In order to evaluate the buildings on the different criteria, a multi-objective fitness function is used. The results obtained from the automated system were successful in satisfying the multiple objective criteria as well as creating interesting and unique designs that a human-aided system might not discover. In this study of evolutionary design, the architectures created are not meant to be fully functional and structurally sound blueprints for constructing a building, but are meant to be inspirational ideas for possible architectural designs. The evolved models are applicable for today's architectural industries as well as in the video game and movie industries. Many new avenues for future work have also been discovered and highlighted.

Lived Experiences: An Exploration of Teachers' Thoughts and Feelings While Implementing an Antibullying Initiative

This qualitative case study explored elementary school teachers' lived experiences and perceptions surrounding the implementation of an antibullying program within the public school system. The purpose of this study was to share the individual stories of teachers who have implemented an antibullying initiative and how their journey into the bullying phenomenon changed their personal beliefs, their students, and their school climate. Five elementary school teachers (3 female, 2 male) from 5 different public schools in a southwestern region of Ontario completed 8 closed-ended questions and participated in l-on-l semistructured interviews. All 5 teachers had implemented the "Imagine ... A School Without Bullying" initiative or were involved with its predecessor the "Good Kid Sid" pilot project. The interviews were audiotaped and transcribed. The data were coded, and broad themes were reduced to a smaller number of topics where a more in-depth analysis occurred. Findings showed that reports of bullying existed at each of the schools. All 5 teachers felt their initiative was making a positive difference in their school; however this did not come without some resistance from staff. A common finding heard from all of their stories was the need for more time. Implications for antibullying initiatives are discussed, and advice to anyone beginning an antibullying initiative is offered by each of the 5 teachers involved in this study.

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.

Postcard - My thoughts are of you

A postcard from James Ware, a male nurse in the military during the first World War, is writing to Dolly Cowan. There is a handwritten message on one side that reads: "Folkstone Oct. 23/16 Dear Dolly This is the note that I promised to write and it is a view of one of the many places I was in recently. I am feeling pretty fair at present. Hope you are well Will write again in a few days, bye x bye James"

A Handbook for Ontario J/I Pre-Service Teachers Developing Inclusive Pedagogy: Understanding Pre-Service Teachers' Thoughts and Feelings About Diversity

This project presents a handbook for Ontario Junior/Intermediate (J/I) pre-service teachers, Ontario J/I teacher education instructors, and J/I associate teachers that facilitates the identification, analysis, and reorganization of J/I pre-service teachers’ thoughts and feelings about diversity characteristics to develop inclusive teaching pedagogy. The handbook outlines collaborative and independent learning activities designed for integration into compulsory J/I Bachelor of Education (B.Ed.) program courses, practicum placements, and independent reflective situations. The handbook is composed of 5 sections: (a) Rationale for Importance; (b) Cross-Curricular Activities for J/I B.Ed. Courses; (c) Course-Specific Activities; (d) Practicum Placement Activities; and (e) Resources for Inclusive Educators. A critical content analysis of a 2011-2012 J/I B.Ed. program in Ontario enabled the creation of the handbook to address specific teacher education programming focused on helping pre-service teachers understand their thoughts and feelings about diversity for the development of inclusive teaching pedagogy. This research contributes to the advancement of theory and practice regarding development of teacher education programming that promotes J/I pre-service teachers’ inclusive pedagogy.

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM

Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a parallel GP system is discussed. First, a study of suitable GP languages for object classification is presented. Two main GP approaches for visual pattern classification, namely the block-classifiers and the pixel-classifiers, were studied. Results showed that the pixel-classifiers generally performed better. Using these results, a suitable language was selected for the real-time implementation. Synthetic video data was used in the experiments. The goal of the experiments was to evolve a unique classifier for each texture pattern that existed in the video. The experiments revealed that the system was capable of correctly tracking the textures in the video. The performance of the system was on-par with real-time requirements.