1,273 research outputs found

    RECONSTRUCTION OF SOCIAL SCIENCE AND HUMANITIES THROUGH NARRATIVE

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    Purpose: The purpose of this paper is to present new directions and research strategies through critical analysis of the academic tendencies of existing social science and humanities. The narrative theory of human experience is adopted as a theoretical rationale for critical analysing existing social sciences and humanities. Since the 1970s and 1980s, the academic tendencies of the humanities and social sciences have been transformed into the narrative turn. We focus on the new integrity of humanities and social sciences in light of the narrative theory that approaches the totality of human life. The narrative theory for academic inquiry makes use of the position of Bruner, Polkinghorne, Ricoeur Methodology: We reviewed the literature related to the research topic and took an integrated approach to the philosophical analysis of core claims. Main Findings: As a result, the narrative theory has a characteristic approach to human life and experience as a whole, and it is possible to integrate by narrative ways of knowing. Implications/Applications: Based on this narrative theory, existing humanities and social sciences need to be reconstructed into narrative science. And a narrative method or narrative inquiry is useful as its specific inquiry method. As a narrative science, humanities and social sciences can be implemented by the integration of human experience and narrative epistemology. It has the advantage of integrating the atomized sub-sciences into the narrative of human experience according to this new method. Also, in-depth research on concrete exploration strategies is expected in the future

    Another Look at Norris and Ortega (2000)

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    Since Norris and Ortega’s (2000) seminal work on the effectiveness of second language instruction, there has been a proliferation of meta-analyses in the field of applied linguistics. Subsequent meta-analysts, however, have uncritically followed the methodological choices made by Norris and Ortega. This paper suggests a critical reevaluation of the methodological procedures underlying the Norris and Ortega (2000) meta-analysis. I reexamined their procedures, and reassessed the 49 unique samples they used in their meta-analysis. In doing so, I identified three key methodological limitations with the study, pertaining, respectively, to (a) the data collection procedure, (b) the coding system, and (c) the statistical analysis. I argue that the lack of data quality inherent in the primary studies, the oversimplified coding scheme, and the inappropriate use of effect size statistics combine to compromise the validity of the conclusions Norris and Ortega have drawn from their meta-analysis. I subsequently provide alternative procedures which may yield a more empirically sound research synthesis, recommending, for future meta-analysts, the “best evidence synthesis‟ approach where conclusions are drawn from combining quantitative and qualitative analyses

    Written Corrective Feedback as a Means to Validate the Selective Fossilization Hypothesis: Issues to Consider

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    Since Selinker (1972) coined the term fossilization to characterize the phenomenon in which second language (L2) learners cease to progress in the acquisition process, much effort (e.g., Bates & MacWhinney, 1981; Krashen, 1981, cited in Han & Odlin, 2006) has been made to research instances of such premature stabilization of deviant L2 forms both within and across learners. Nonetheless, as Birdsong (2003, cited in Han & Odlin, 2006) aptly points out, the term has been (mis)used by many simply as a “catch-all” term, i.e., a handy metaphor for describing any lack of progress in L2 learning, regardless of its nature. It is therefore not surprising that little has been achieved as far as the development of a comprehensive analytic model throughout almost forty years of fossilization research. Against this background, Han (2009) proposes the Selective Fossilization Hypothesis (SFH), seeking to account for the fossilizability of target L2 structures through establishing: (1) empirically operationalizable variables (i.e., first language (L1) markedness and L2 input robustness) and subvariables (i.e., frequency and variability); (2) a first-of-its-kind analytiical model of fossilization, whose “boundary conditions” still require further investigation

    Mechanisms of Membrane Curvature Generation in Membrane Traffic

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    During the vesicular trafficking process, cellular membranes undergo dynamic morphological changes, in particular at the vesicle generation and fusion steps. Changes in membrane shape are regulated by small GTPases, coat proteins and other accessory proteins, such as BAR domain-containing proteins. In addition, membrane deformation entails changes in the lipid composition as well as asymmetric distribution of lipids over the two leaflets of the membrane bilayer. Given that P4-ATPases, which catalyze unidirectional flipping of lipid molecules from the exoplasmic to the cytoplasmic leaflets of the bilayer, are crucial for the trafficking of proteins in the secretory and endocytic pathways, changes in the lipid composition are involved in the vesicular trafficking process. Membrane remodeling is under complex regulation that involves the composition and distribution of lipids as well as assembly of proteins

    Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation

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    We consider the problem of graph matching, or learning vertex correspondence, between two correlated stochastic block models (SBMs). The graph matching problem arises in various fields, including computer vision, natural language processing and bioinformatics, and in particular, matching graphs with inherent community structure has significance related to de-anonymization of correlated social networks. Compared to the correlated Erdos-Renyi (ER) model, where various efficient algorithms have been developed, among which a few algorithms have been proven to achieve the exact matching with constant edge correlation, no low-order polynomial algorithm has been known to achieve exact matching for the correlated SBMs with constant correlation. In this work, we propose an efficient algorithm for matching graphs with community structure, based on the comparison between partition trees rooted from each vertex, by extending the idea of Mao et al. (2021) to graphs with communities. The partition tree divides the large neighborhoods of each vertex into disjoint subsets using their edge statistics to different communities. Our algorithm is the first low-order polynomial-time algorithm achieving exact matching between two correlated SBMs with high probability in dense graphs.Comment: ICML 202
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