scholarly journals Academic resilience: underlying norms and validity of definitions

2021 ◽  
Vol 33 (1) ◽  
pp. 169-202
Author(s):  
Wangqiong Ye ◽  
Rolf Strietholt ◽  
Sigrid Blömeke

AbstractAcademic resilience refers to students’ capacity to perform highly despite a disadvantaged background. Although most studies using international large-scale assessment (ILSA) data defined academic resilience with two criteria, student background and achievement, their conceptualizations and operationalizations varied substantially. In a systematic review, we identified 20 ILSA studies applying different criteria, different approaches to setting thresholds (the same fixed ones across countries or relative country-specific ones), and different threshold levels. Our study on the validity of these differences and how they affected the composition of academically resilient students revealed that the classification depended heavily on the threshold applied. When a fixed background threshold was applied, the classification was likely to be affected by the developmental state of a country. This could result in an overestimation of the proportions of academically resilient students in some countries while an underestimation in others. Furthermore, compared to the application of a social or economic capital indication, applying a cultural capital indicator may lead to lower shares of disadvantaged students classified as academically resilient. The composition of academically resilient students varied significantly by gender and language depending on which indicator of human capital or which thresholds were applied reflecting underlying societal characteristics. Conclusions drawn from such different results depending on the specific conceptualizations and operationalizations would vary greatly. Finally, our study utilizing PISA 2015 data from three countries representing diverse cultures and performance levels revealed that a stronger sense of belonging to a school significantly increased the chances to be classified as academically resilient in Peru, but not in Norway or Hong Kong. In contrast, absence from school was significantly associated with academic resilience in Norway and Hong Kong, but not in Peru.

2013 ◽  
Author(s):  
Laura S. Hamilton ◽  
Stephen P. Klein ◽  
William Lorie

Author(s):  
Christina Schindler ◽  
Hannah Baumann ◽  
Andreas Blum ◽  
Dietrich Böse ◽  
Hans-Peter Buchstaller ◽  
...  

Here we present an evaluation of the binding affinity prediction accuracy of the free energy calculation method FEP+ on internal active drug discovery projects and on a large new public benchmark set.<br>


Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 295
Author(s):  
Yuan Gao ◽  
Anyu Zhang ◽  
Yaojie Yue ◽  
Jing’ai Wang ◽  
Peng Su

Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored. An approach to the selection of such variables is proposed and the criteria established for large-scale assessment of land, based on big data, for its suitability to maize (Zea mays L.) cultivation as a case study. The predicted suitability matched the past distribution of maize with an overall accuracy of 79% and a Kappa coefficient of 0.72. The land suitability for maize is likely to decrease markedly at low latitudes and even at mid latitudes. The total area suitable for maize globally and in most major maize-producing countries will decrease, the decrease being particularly steep in those regions optimally suited for maize at present. Compared with earlier research, the method proposed in the present paper is simple yet objective, comprehensive, and reliable for large-scale assessment. The findings of the study highlight the necessity of adopting relevant strategies to cope with the adverse impacts of climate change.


Social Forces ◽  
2021 ◽  
Author(s):  
Gabriel Otero ◽  
Beate Volker ◽  
Jesper Rozer

Abstract This paper studies how social capital is divided across classes in Chile, one of the most unequal countries in the world. We analyse the extent to which upper-, middle-, and lower class individuals congregate in social networks with similar others, while following Bourdieu and expecting that in particular the networks of the higher social strata are segregated in terms of social capital. We test our argument with large-scale, representative survey data for the Chilean urban population aged 18–75 years (n = 2,517) and build an integrated indicator of people’s social class that combines measures of education, occupational class, and household income. Our regression analyses show that upper-class individuals have larger networks and access to more varied and prestigious social resources than their middle- and lower class counterparts. Interestingly, however, we found a U-shaped relationship between social class and class homogeneity, indicating that network segregation is high at the top as well as at the bottom of the class-based social strata. In contrast, the classes in the middle have more heterogeneous class networks, possibly forming an important bridge between the “edges” of the class structure. These findings demonstrate that whereas social and economic capital cumulates in higher classes, the lower classes are socially deprived next to their economic disadvantage.


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