角色参照语法的分析框架及其解释能力探析

角色参照语法是20世纪70年代以来发展起来的一种结构功能语法。论文尝试评述其主要的语法分析框架,并以英语和汉语为例探究其对不同语言的解释能力。角色参照语法成功地将语篇、语用因素融入到句法结构的分析之中,因此,它不仅能够较好地解释英语等形合语言的结构特征,也适用于具有意合特征的汉语等语言的结构分析。角色参照语法比传统的形式语法具有更大的灵活性和适用性。     

Crossing the border: immigrant student identities in Swaziland schools

This paper sets out to explore how the resettlement of immigrant students in a host country and schooling context influenced the constitution, negotiation and representation of their identities. Data capture included a mix of semi-structured interviews, focus group interviews, observations and a researcher journal. Data were analyzed by means of the content analysis method. Findings were fivefold. First, the sociocultural context influenced the way immigrant students constructed their identities. Second, categorization was based on phenotypical features, accent, negative attitudes and stereotypical perceptions of immigrants by Swaziland society. Third negotiated identities were multiple in nature and rooted in their culture of origin. Fourth, self-determination was a strong trait of immigrants; reflected in their work ethic, in the resolution of culture conflicts, and in their drive to achieve linguistic competency. And fifth, psychosocial passing was consistent with second generation immigrants. New knowledge generated from this study revealed that African immigrants preferred to be clustered with Mozambican immigrants, as it provided solid ground from which they negotiated identities in Swaziland schools. Mozambican immigrants recruited other African immigrants into their cluster, which they referred to as the ‘Chico nation’. And, the culture of non-Christian immigrants was suppressed to promote Christian religious beliefs and values.     

空间流变与文化持守:一个移民羌村信仰习俗空间化表征的案例研究

表征的空间是列斐伏尔空间生产理论的重要议题,但在民族村寨领域还未引起足够重视。民族村寨空间生产是关于空间－人－文化三者共存秩序的复杂建构过程,其中村民弱小、碎片的空间实践机制研究有待加强。本文以一 个移民羌村为案例,在田野调查基础上,从空间生产的微观视角出发,对羌村的居住信仰、释比信仰、习俗信仪、羌年祭典四个方面信仰习俗的空间化表征展开研究。研究发现,在空间－人－文化三元互动中,羌民弱小、碎片化的空间实践使特定信仰习俗得以自洽地存续,新村表征的空间背后既是羌民“化他乡为故乡”的主体性呈现,更是羌民对本民族文化的坚定持守。     

A new confidence interval in measurement error model with the reliability ratio known

For the slope parameter of the measurement error model with the reliability ratio known, this article constructs a fiducial generalized confidence interval (FGCI) which is proved to have correct asymptotic coverage. Simulation results demonstrate that the FGCI often outperforms the existing intervals in terms of empirical coverage probability, average interval length, and false parameter coverage rate. Two examples are also provided to illustrate our approach.     

Improving the Efficacy of Administrative Data for Evaluation of Holistic Defense

A college of social work developed a partnership with a state commission on indigent defense to examine existing data-collection procedures, potential case outcomes, and practical implications of implementing holistic defense programs. The holistic defense model responds to the complex challenges of justice-system-involved defendants by providing social services in public defense offices. Using chi-square and logistic regression analyses of administrative data for a sample of 15,994 public defendants from a single judicial circuit, this research study examined case outcomes before and after implementation of a holistic defense program. Results were mixed regarding effectiveness of holistic defense in mitigating the effect of justice involvement for indigent defendants. Implementation of holistic defense was associated with a decrease in case dismissals. However, defendants receiving holistic representation were less likely to be indicted than defendants prior to program implementation. Once indicted, there were no changes in levels of diversions, and more defendants were held on bond, convicted as guilty, and incarcerated. After program implementation, fewer defendants were sentenced to alternatives to incarceration; more defendants were sentenced to time served, avoiding further incarcerative penalty. These findings suggested the need for further research to determine whether holistic defense practices are producing desired legal and social service outcomes.     

Analysis of Type-II hybrid censored competing risks data

Kundu and Gupta [Analysis of hybrid life-tests in presence of competing risks. Metrica. 2007;65:159–170] provided the analysis of Type-I hybrid censored competing risks data, when the lifetime distributions of the competing cause of failures follows exponential distribution. In this paper, we consider the analysis of Type-II hybrid censored competing risks data. It is assumed that latent lifetime distributions of the competing causes of failures follow independent exponential distributions with different scale parameters. It is observed that the maximum likelihood estimators of the unknown parameters do not always exist. We propose the modified estimators of the scale parameters, which coincide with the corresponding maximum likelihood estimators when they exist, and asymptotically they are equivalent. We obtain the exact distribution of the proposed estimators. Using the exact distributions of the proposed estimators, associated confidence intervals are obtained. The asymptotic and bootstrap confidence intervals of the unknown parameters are also provided. Further, Bayesian inference of some unknown parametric functions under a very flexible Beta-Gamma prior is considered. Bayes estimators and associated credible intervals of the unknown parameters are obtained using the Monte Carlo method. Extensive Monte Carlo simulations are performed to see the effectiveness of the proposed estimators and one real data set has been analysed for the illustrative purposes. It is observed that the proposed model and the method work quite well for this data set.     

LAN property for an ergodic diffusion with jumps

In this paper, we consider a multidimensional ergodic diffusion with jumps driven by a Brownian motion and a Poisson random measure associated with a compound Poisson process, whose drift coefficient depends on an unknown parameter. Considering the process discretely observed at high frequency, we derive the local asymptotic normality (LAN) property.     

On the asymptotic normality of the R-estimators of the slope parameters of simple linear regression models with associated errors

ABSTRACT

The purpose of this paper is to prove, under mild conditions, the asymptotic normality of the rank estimator of the slope parameter of a simple linear regression model with stationary associated errors. This result follows from a uniform linearity property for linear rank statistics that we establish under general conditions on the dependence of the errors. We prove also a tightness criterion for weighted empirical process constructed from associated triangular arrays. This criterion is needed for the proofs which are based on that of Koul [Behavior of robust estimators in the regression model with dependent errors. Ann Stat. 1977;5(4):681–699] and of Louhichi [Louhichi S. Weak convergence for empirical processes of associated sequences. Ann Inst Henri Poincaré Probabilités Statist. 2000;36(5):547–567].