Colleagues, Classmates, and Friends: Graduate versus Undergraduate Tutor Identities and Professionalization

This study provides a new framework for thinking about the value of writing center work by illuminating how tutors define and negotiate their various and emergent identities as students and as professionals. We build on conversations about tutor identity to argue that tutors’ multiple roles affect the dynamics of the writing center as a whole. From interviews with graduate and undergraduate tutors about professionalization and the writing center, we reveal that the tutors’ level of resistance to or acceptance of writing center work impacts the extent to which they see themselves as burgeoning professionals within that space and, concomitantly, affects the sense of community in the writing center. At our site of study, undergraduate tutors who self-selected into writing center employment generally had much more positive associations with their writing center experiences than their graduate student counterparts, who were often compelled to work in the center as part of their assistantships. We argue then that while writing centers can be valuable in building the professional identities of both undergraduate and graduate tutors, the ways in which these different populations affect our centers is significant. As such, writing center professionals at all levels should work to acknowledge different identities and foster community among tutors who come to us with multiple backgrounds, purposes, and agendas.University Writing Cente

Here Comes the Sunburst: Measuring and Visualizing Scholarly Impact

Our ARL institution partnered with a new service (PlumX) to track, measure, and visualize faculty scholarly impact. In a pilot project, both traditional and emerging measures of scholarly impact were collected for 32 researchers. The presenters will chronicle the data management and enhancements applied, including utilizing content from our institutional repository, importing and enriching metadata, and using an intranet to organize work and collaborate with colleagues. Results will assist faculty and those who work with them to identify strengths and weaknesses of scholarly impact and where to focus efforts to increase research visibility

From Scholarship Girls to Scholarship Women: Surviving the Contradictions of Class and Race in Academe

This article explores the dilemmas graduate education poses for women of working-class origin who come from different ethnic and racial backgrounds. It proceeds in a chronological narrative using examples from the authors\u27 personal experiences to make general points about how the intricate web of class, race, and gender relations shaped their experiences in higher education. Both women -- Cucidraz, a Chicana, and Pierce, a white woman -- struggle with the feelings of alienation and marginality as outsiders within the academy as well as their material needs for financial support. Their personal narratives reveal, as well, how race shapes their experiences in the academy. Racism renders Cuadraz\u27 class status visible, whereas whiteness masks Pierce\u27s background. Finally, the authors shift their focus from an examination of the structures which shaped their lives to an exploration of their attempts to find their own voices in academic work, and to resist the very structures which excluded their experiences as women from working-class backgrounds

The influence of shc proteins and aging on whole body energy expenditure and substrate utilization in mice.

While it has been proposed that Shc family of adaptor proteins may influence aging by regulating insulin signaling and energy metabolism, the overall impact of Shc proteins on whole body energy metabolism has yet to be elucidated. Thus, the purpose of this study was to determine the influence of Shc proteins and aging on whole body energy metabolism in a mouse model under ambient conditions (22°C) and acute cold exposure (12°C for 24 hours). Using indirect respiration calorimetry, we investigated the impact of Shc proteins and aging on EE and substrate utilization (RQ) in p66 Shc-/- (ShcKO) and wild-type (WT) mice. Calorimetry measurements were completed in 3, 15, and 27 mo mice at 22°C and 12°C. At both temperatures and when analyzed across all age groups, ShcKO mice demonstrated lower 24 h total EE values than that of WT mice when EE data was expressed as either kJ per mouse, or adjusted by body weight or crude organ mass (ORGAN) (P≤0.01 for all). The ShcKO mice also had higher (P<0.05) fed state RQ values than WT animals at 22°C, consistent with an increase in glucose utilization. However, Shc proteins did not influence age-related changes in energy expenditure or RQ. Age had a significant impact on EE at 22°C, regardless of how EE data was expressed (P<0.05), demonstrating a pattern of increase in EE from age 3 to 15 mo, followed by a decrease in EE at 27 mo. These results indicate a decline in whole body EE with advanced age in mice, independent of changes in body weight (BW) or fat free mass (FFM). The results of this study indicate that both Shc proteins and aging should be considered as factors that influence energy expenditure in mice

Central stability for the homology of congruence subgroups and the second homology of Torelli groups

We prove a representation stability result for the second homology groups of Torelli subgroups of mapping class groups and automorphism groups of free groups. This strengthens the results of Boldsen-Hauge Dollerup and Day-Putman. We also prove a new representation stability result for the homology of certain congruence subgroups, partially improving upon the work of Putman-Sam. These results follow from a general theorem on syzygies of certain modules with finite polynomial degree.Comment: Corrections and substantial revisions. 36 pages, 1 figure. To appear in Advances in Mathematic

Parsing with parallelism : a spreading-activation model of inference processing during text understanding

The past decade of reseatch in Natural Language Processing has universally recognized that, since natural language input is almost always ambiguous with respect to its pragmatic implications, its syntactic parse, and even its lexical analysis (i.e., choice of correct word-sense for an ambiguous word), processing natural language input requires decisions about word meanings, syntactic structure, and pragmatic inferences. The lexical, syntactic, and pragmatic levels of inferencing are not as disparate as they have often been treated in both psychological and artificial intelligence research. In fact, these three levels of analysis interact to form a joint interpretation of text.ATLAST (A Three-level Language Analysis SysTem) is an implemented integration of human language understanding at the lexical, the syntactic, and the pragmatic levels. For psychological validity, ATLAST is based on results of experiments with human subjects. The ATLAST model uses a new architecture which was developed to incorporate three features: spreading activation memory, two-stage syntax, and parallel processing of syntax and semantics. It is also a new framework within which to interpret and tackle unsolved problems through implementation and experimentation

Ground reaction force estimates from ActiGraph GT3X+ hip accelerations.

Simple methods to quantify ground reaction forces (GRFs) outside a laboratory setting are needed to understand daily loading sustained by the body. Here, we present methods to estimate peak vertical GRF (pGRFvert) and peak braking GRF (pGRFbrake) in adults using raw hip activity monitor (AM) acceleration data. The purpose of this study was to develop a statistically based model to estimate pGRFvert and pGRFbrake during walking and running from ActiGraph GT3X+ AM acceleration data. 19 males and 20 females (age 21.2 ± 1.3 years, height 1.73 ± 0.12 m, mass 67.6 ± 11.5 kg) wore an ActiGraph GT3X+ AM over their right hip. Six walking and six running trials (0.95-2.19 and 2.20-4.10 m/s, respectively) were completed. Average of the peak vertical and anterior/posterior AM acceleration (ACCvert and ACCbrake, respectively) and pGRFvert and pGRFbrake during the stance phase of gait were determined. Thirty randomly selected subjects served as the training dataset to develop generalized equations to predict pGRFvert and pGRFbrake. Using a holdout approach, the remaining 9 subjects were used to test the accuracy of the models. Generalized equations to predict pGRFvert and pGRFbrake included ACCvert and ACCbrake, respectively, mass, type of locomotion (walk or run), and type of locomotion acceleration interaction. The average absolute percent differences between actual and predicted pGRFvert and pGRFbrake were 8.3% and 17.8%, respectively, when the models were applied to the test dataset. Repeated measures generalized regression equations were developed to predict pGRFvert and pGRFbrake from ActiGraph GT3X+ AM acceleration for young adults walking and running. These equations provide a means to estimate GRFs without a force plate