Aerial view of the Chapman College campus, Orange, California, 1966

Aerial view of the Chapman College campus, Orange, California, 1966. Looking diagonally to the northeast. Corner of North Glassell Street and Palm Avenue in lower middle, with the five original buildings just beyond. The old gymnasium is by the oval playing field and stadium. Photographed by Rene Laursen, 702 N. Grand, Santa Ana, California [No. 1499#1].

Aerial view of the Chapman College campus, Orange, California, 1973

Aerial view of the Chapman College campus, Orange, California, February 23, 1973. Looking north; athletic field and stadium in center. Photographed by "Aerial Eye Inc. - Custom Aerial Photography - 1330 Bristol S. E. #103 - Santa Ana, California 92707." [#9]

Aerial view of the Chapman College campus, Orange, California, 1973

Aerial view of the Chapman College campus, Orange, California, February 23, 1973. North at left; athletic field and stadium in center. Photographed by "Aerial Eye Inc. - Custom Aerial Photography - 13

Aerial view of the Chapman College campus, Orange, California, 1973

Aerial view of the Chapman College campus, Orange, California, January, 1973. North at left; athletic field and stadium in center. Photographed by "Aerial Eye Inc. - Custom Aerial Photography - 1330 Palisades #92 - Santa Ana, California 92707." [#1]

Aerial view of the Chapman College campus, Orange, California

Aerial view of the Chapman College campus, Orange, California. Looking northwest; the Moulton Fine Arts complex is at lower right. After 1978.

Aerial view of the Chapman College campus, Orange, California

Color postcard featuring an aerial view of the Chapman College campus, Orange, California, ca. 1995. Looking north. On message side: "Produced by Wayne Salvatti/Photografx; Copyright Photografx"

Aerial view of the Chapman College campus, Orange, California

Aerial view of the Chapman College campus, Orange, California, looking east. Memorial Hall is in the center, facing lawn and North Glassell Street.

Chapman College Alumni Trustees pose for a portrait on the campus in Orange, California

Chapman College Alumni Trustees pose for a portrait on the campus in Orange, California in the late 1980s. Left to right: James Roosevelt, A. Andrew Johnson, George Argyros, Harmon Wilkinson, Irvin C. Chapman and Myron Cole.

Unidentified man on the campus of California Christian College, Los Angeles

Unidentified man in cap and gown on the campus of California Christian College, Los Angeles, in the 1920s.

Campus Development Collection, Brock University, 1962-2007

University Archives

The impact of tobacco control policies on university students' smoking in Ontario

Objective. Despite steady declines in the prevalence of tobacco use among Canadians, young adult tobacco use has remained stubbornly high over the past two decades (CTUMS, 2005a). Currently in Ontario, young adults have the highest proportion of smokers of all age cohorts at 26%. A growing body of evidence shows that smoking restrictions and other tobacco control policies can reduce tobacco use and consumption among adults and deter initiation among youth; whether young adult university students' smoking participation is influenced by community smoking restrictions, campus tobacco control policies or both remains an empirical question. The purpose of this study is to examine the relationship among current smoking status of students on university campuses across Ontario and various tobacco control policies, 3including clean air bylaws of students' home towns, clean air by-laws of the community where the university is situated, and campus policies. Methods. Two data sets were used. The 200512006 Tobacco Use in a Representative Sample of Post-Secondary Students data set provides information about the tobacco use of 10,600 students from 23 universities and colleges across Ontario. Data screening for this study reduced the sample to 5,114 17-to-24 year old undergraduate students from nine universities. The second data set is researcher-generated and includes information about strength and duration of, and students' exposure to home town, local and campus tobacco control policies. Municipal by-laws (of students' home towns and university towns) were categorized as weak, moderate or strong based on criteria set out in the Ontario Municipal By-law Report; campus policies were categorized in a roughly parallel fashion. Durations of municipal and campus policies were calculated; and length of students' exposure to the policies was estimated (all in months). Multinomial logistic regression analyses were used to examine the relationship between students' current smoking status (daily, less-than-daily, never-smokers) and the following policy measures: strength of, duration of, and students' exposure to campus policy; strength of, duration of, and students' exposure to the by-law in the university town; and, strength of, duration of, and students' exposure to the by-law in the home town they grew up in. Sociodemographic variables were controlled for. Results. Among the Ontario university students surveyed, 7.0% currently use tobacco daily and 15.4% use tobacco less-than-daily. The proportions of students experiencing strong tobacco control policies in their home town, the community in which their university is located and at their current university were 33.9%,64.1 %, and 31.3% respectively. However, 13.7% of students attended a university that had a weak campus policy. Multinomial logistic regressions suggested current smoking status was associated with university town by-law strength, home town by-law strength and the strength of the campus tobacco control policy. In the fmal model, after controlling for sociodemographic factors, a strong by-law in the university town and a strong by-law in students' home town were associated with reduced odds of being both a less-than-daily (OR = 0.64, 95%CI: 0.48-0.86; OR = 0.80, 95%CI: 0.66-0.95) and daily smoker (OR = 0.59, 95%CI: 0.39-0.89; OR = 0.76, 95%CI: 0.58-0.99), while a weak campus tobacco control policy was associated with higher odds of being a daily smoker (OR = 2.08, 95%CI: 1.31-3.30) (but unrelated to less-than-daily smoking). Longer exposure to the municipal by-law (OR = 0.93; 95%CI: 0.90-0.96) was also related to smoking status. Conclusions. Students' smoking prevalence was associated with the strength of the restrictions in university, and with campus-specific tobacco control policies. Lessthan- daily smoking was not as strongly associated with policy measures as daily smoking was. University campuses may wish to adopt more progressive campus policies and support clean air restrictions in the broader community. More research is needed to determine the direction of influence between tobacco control policies and students' smoking.

What gets plans off the shelf? : a multi-site case study of the factors influencing municipal recreation plan implementation

Municipalities that engage in recreation planning have the potential to use their resources more effectively. However, successful planning means getting the plan off the shelf and implemented. This study investigated the factors that influenced municipal recreation plan implementation in three municipalities. Interviews were conducted with eleven key informants (recreation directors, planning consultants, a city councillor, and members of plan steering committees). The findings of this study suggested that because the implementation of recreation plans occurs in a highly political environment, recreation professionals will need effective strategies to get their plans implemented and that implementation can be facilitated by developing or expanding strategies that: (l) build the power of the recreation department within the municipal government structure; (2) build support for recreation within the local community; and (3) build the political and organizational capacity in the recreation department.

Academic advising, eh : a profile of undergraduate academic advising at Ontario universities

Despite its importance to postsecondary students' success, there is little known about academic advisement in Canada. Academic advising can be a very intensive and demanding job, yet it is not well understood what duties or student populations of advising make it so. On a practical level, this study sought to learn more about academic advisement in Ontario universities and provide a general overview of who advisors are and what they do. This study also investigated academic advising duties and time allocation for these responsibilities in an attempt to relate theory to practice incorporating Vilfredo Pareto's theoretical underpinnings to confirm or negate the applicability of the Pareto Principle in relationship to time utilization by advisors. Essentially this study sought to discover which students require the greatest advisement time and effort, and how advisors could apply these findings to their work. Academic advising professionals in Ontario universities were asked to complete a researcher-designed electronic survey. Quantitative data from the responses were analyzed to describe generalized features of academic advising at Ontario universities. Discussion and implications for practice will prompt advisors and institutions using the results of this study to measure themselves against a provincial assessment. Advisors' awareness of time allocation to different student groups can help focus attention where new strategies are needed to maximize time and efforts. This study found that caseload and time spent with student populations were proportional. Regular undergraduate students accounted for the greatest amount of caseload and time followed by working with students struggling academically. This study highlights the need for further evaluation, education, and research in academic advising in Canadian higher education.

Exploring Teacher Candidates’ Experience, Perception, and Knowledge of Multicultural Education in Two Ontario Universities

In this study, teacher candidates’ experiences, perceptions, and knowledge of multicultural education at 2 Ontario universities were used determine to the effectiveness of their teacher education programs in preparing them to teach in multicultural classrooms. The research also strived to highlight the most effective practices in these programs that contributed to the preparation of teacher candidates for employment in culturally, racially, and ethnically diverse classrooms in Ontario. A questionnaire and interviews were used to determine the effectiveness of the program in preparing them to teach in diverse classrooms. The findings revealed the need for a greater emphasis of multicultural education in teacher education programs at these universities. The data showed that teacher candidates were most critical of the courses and the delivery of the curriculum in relation to multicultural education. Teacher candidates were also concerned with the lack of multicultural education in their practicum placements. In addition, teacher candidates indicated in the questionnaire that they felt competent adapting instruction to the needs of students in multicultural classrooms. However, the results obtained from the interviews were more varied. The interviews highlighted that teacher candidates were hesitant about teaching in culturally diverse classrooms and less likely to state that they were prepared for these teaching environments. As well, many teacher candidates believed their peers were not prepared for multicultural issues. Teacher candidates believed the program could be improved in many ways including specific instruction across all classes, more diverse practicum experiences, guest speakers, case studies, and the creation of new courses that specifically address multicultural education.

A Multi-Objective Genetic Algorithm with Side Effect Machines for Motif Discovery

Understanding the machinery of gene regulation to control gene expression has been one of the main focuses of bioinformaticians for years. We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. We compare some suggested objectives for the motifs they find, test different multi-objective scoring schemes and probabilistic models for the background sequence models and report our results on a synthetic dataset and some biological benchmarking suites. We conclude with a comparison of our algorithm with some widely used motif discovery algorithms in the literature and suggest future directions for research in this area.