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101.
Science, Technology & Society (STS) graduate programs primarily train graduate students to work in tenure track academic jobs. However, there are not enough tenure track academic jobs to match the supply of STS graduate students, nor does every STS graduate student want to become an academic. As a start to addressing these challenges, we hosted workshops before the 2017 Society for the Annual Meeting of the Society Studies of Science and the 2018 ST Global conference. In those workshops, panelists with PhDs in STS and related fields and working in non-academic faculty careers such as government agencies, non-profit foundations, and industry emphasized that students must showcase how their skills are useful to non-academic organizations. The panelists offered a wealth of stories on how their STS perspective supported their careers, yet most had faced implicit and explicit mentoring from STS faculty that ran counter to their career aspirations. The conversations centered on reframing research and conveying to potential employers how their STS training would support their future careers. A takeaway point that resonated with many participants was the need for STS graduate programs to rethink how they market themselves, recruit students, and critically reflect upon the measures of success. By implicitly steering graduate students solely towards an academic career, STS graduate training will miss an opportunity to make a positive impact on society.  相似文献   
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海宁是我家     
回想起我怀孕的时候,本来一切都很顺利。我关注健康,热爱运动,注重营养,喜欢健康的食物并且积极阅读那些教育孩子的书本。我在中国生活有快两年了,在这段时间,我深爱着我的丈夫,我热爱我的工作,  相似文献   
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Hessels  Laurens K.  Franssen  Thomas  Scholten  Wout  de Rijcke  Sarah 《Minerva》2019,57(2):127-149
Minerva - This paper aims to explore disciplinary variation in valuation practices by comparing the way research groups accumulate credibility across four epistemic cultures. Our analysis is based...  相似文献   
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This study investigated the validity and reliability of the GymAware PowerTool (GPT). Thirteen resistance trained participants completed three visits, consisting of three repetitions of free-weight back squat, bench press, deadlift (80% one repetition maximum), and countermovement jump. Bar displacement, peak and mean velocity, peak and mean force, and jump height were calculated using the GPT, a three-dimensional motion capture system (Motion Analysis Corporation; 150 Hz), and a force plate (Kistler; 1500 Hz). Least products regression were used to compare agreeability between devices. A within-trial one-way ANOVA, typical error (TE; %), and smallest worthwhile change (SWC) were used to assess reliability. Regression analysis resulted in R2 values of >0.85 for all variables excluding deadlift mean velocity (R2 = 0.54–0.69). Significant differences were observed between visits 3-2 for bench press bar displacement (0.395 ± 0.055 m; 0.383 ± 0.053 m), and deadlift bar displacement (0.557 ± 0.034 m; 0.568 ± 0.034 m). No other significant differences were found. Low to moderate TE (0.6–8.8%) were found for all variables, with SWC ranging 1.7–7.4%. The data provides evidence that the GPT can be used to measure kinetic and kinematic outputs, however, care should be taken when monitoring deadlift performance.  相似文献   
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