A glass half full or half empty?: A comparison of diversity statements among Russell group UK vs US Research universities

The term diversity is ubiquitous in university mission statements, strategic plans, recruitment brochures, and university websites. This paper argues aims to compare university diversity statements from US Research Tier 1 universities with those from the elite UK Russell group universities In order to compare the language of diversity, we have used the techniques of corpus linguistics. A corpus is an electronic collection of sample texts which can then be processed by software, in this case the Oxford Wordsmith Tools (Scott 1996) package. This enables a corpus to be searched for frequent words, concordances (the linguistic environment of target words), and collocations (the company that those words keep). The resulting analysis suggests that there are differences between US and UK diversity statements, significant enough that they cannot be said to conform to the same 'genre'. There is overall similarity in terms ofvocabulary choice and of grammatical structures used (nominalizations, modalities etc), however, the UK Russell group diversity statements display a modality position of certainty, which resonates with the noun commitment. In contrast, US Research university diversity statements are formulated more as aspirations, and focus on benefit to the community, but claim a less certain outcome. Diversity is seen as 'a good thing' and signified by multiple linguistic markers of appreciation. The word frequency analysis of the diversity statements suggests that they are largely made up ofsemantically vague lexical items - Strategically Deployable Shifters - which contribute little to the overall meanings of the statements. These words, e.g. excellence, diversity, respect, even equality are multi-functional, polysemic abstractions which invoke fair play. Discursively embracing diversity commits institutions to recognizing little difference, and certainly not to institutional or structural change, rather diversity is seen as the property of individuals, and is congruent with the project of the neoliberal university

Integration Defended: Berkeley Unified's Strategy to Maintain School Diversity

Describes a desegregation plan that considers the neighborhood's racial makeup and other diversity measures rather than student race in granting school preference. Examines the plan's legal, policy, and demographic context and lessons for other districts

Using Random Forests to Describe Equity in Higher Education: A Critical Quantitative Analysis of Utah’s Postsecondary Pipelines

The following work examines the Random Forest (RF) algorithm as a tool for predicting student outcomes and interrogating the equity of postsecondary education pipelines. The RF model, created using longitudinal data of 41,303 students from Utah\u27s 2008 high school graduation cohort, is compared to logistic and linear models, which are commonly used to predict college access and success. Substantially, this work finds High School GPA to be the best predictor of postsecondary GPA, whereas commonly used ACT and AP test scores are not nearly as important. Each model identified several demographic disparities in higher education access, most significantly the effects of individual-level economic disadvantage. District- and school-level factors such as the proportion of Low Income students and the proportion of Underrepresented Racial Minority (URM) students were important and negatively associated with postsecondary success. Methodologically, the RF model was able to capture non-linearity in the predictive power of school- and district-level variables, a key finding which was undetectable using linear models. The RF algorithm outperforms logistic models in prediction of student enrollment, performs similarly to linear models in prediction of postsecondary GPA, and excels both models in its descriptions of non-linear variable relationships. RF provides novel interpretations of data, challenges conclusions from linear models, and has enormous potential to further the literature around equity in postsecondary pipelines