"良知坎陷":牟宗三的思想脉络与理论开展

在牟宗三哲学发展中,"良知坎陷"说有认识论、历史文化论和存有论三义。"良知坎陷"说的理论开展,既表现为存有论意义上的理论综合,也体现在以"道德实践"对"坎陷"所作的理论规定。在"良知坎陷"说中,存在着文化诉求与哲学思考的思想纠结。由于对"坎陷"之辩证义的独特规定,牟宗三存有论意义的"良知坎陷"既不同于黑格尔绝对精神的辩证开展,也改造了康德现象与物自身超越区分的理论架构,展露出"彻底的唯心论"的基本意蕴,具有新的理论意义。     

Luther's Small and Large Catechisms: Defining and Confessing Christian Faith From the Centre in a Religiously Plural World

Abstract : In this article, the author argues that in his Small and Large Catechisms, which were both written in 1529, Martin Luther centres the Christian faith in a way that others can recognise as authentic and faithful to the Gospel vis‐à‐vis the relativism that is posited as the appropriate Christian articulation of the Gospel in a world of religious diversity. Luther's non‐negotiable centring on God for us in Jesus Christ, through whom God is uniquely and decisively revealed, speaks to the contemporary intra‐Christian and inter‐religious questions. The author finds evangelical and persuasive resonance in Lesslie Newbigin's call to indwell the Christian story and George Lindbeck's argument to attend to the grammar of the faith.     

Rapid learning of syllable classes from a perceptually continuous speech stream

To learn a language, speakers must learn its words and rules from fluent speech; in particular, they must learn dependencies among linguistic classes. We show that when familiarized with a short artificial, subliminally bracketed stream, participants can learn relations about the structure of its words, which specify the classes of syllables occurring in first and last word positions. By studying the effect of familiarization length, we compared the general predictions of associative theories of learning and those of models postulating separate mechanisms for quickly extracting the word structure and for tracking the syllable distribution in the stream. As predicted by the dual-mechanism model, the preference for structurally correct items was negatively correlated with the familiarization length. This result is difficult to explain by purely associative schemes; an extensive set of neural network simulations confirmed this difficulty. Still, we show that powerful statistical computations operating on the stream are available to our participants, as they are sensitive to co-occurrence statistics among non-adjacent syllables. We suggest that different learning mechanisms analyze speech on-line: A rapid mechanism extracting structural information about the stream, and a slower mechanism detecting statistical regularities among the items occurring in it.     

From mental strain to burnout

This study examines the relationships between burnout and short-term consequences of mental strain within and outside human services professions, at the same time contributing to the understanding of the development of burnout as a long-term effect of impairing work and job design. A total of 294 German employees working in human services (N = 149) and industrial production (N = 145) completed the Oldenburg Burnout Inventory (OLBI) and four scales measuring short-term consequences of mental strain. Results of factor analyses confirmed that the elements of the OLBI's two-factor structure—exhaustion and disengagement—are distinct from a range of impairing short-term consequences of mental strain. In addition, structural equation modelling showed that each burnout dimension is differentially related to specific short-term consequences of strain: Exhaustion is primarily related to mental fatigue, whereas disengagement is primarily related to satiation and the experience of monotony. The findings did not differ substantially for the two occupational groups. Burnout, as a long-term consequence of impairing mental strain, is distinct from and presumably temporally-causally related to specific impairing short-term consequences of mental strain, which, in turn, can be attributed to inadequate job design.     

Moral Instincts and the Problem with Reductionism: A Critical Look at the Work of Marc Hauser

In his most recent book Moral Minds, Marc Hauser argues that many foundational moral instincts have clear biological explanations. To make this argument, Hauser focuses on the similarities between the acquisition of morality and the acquisition of language. Similar to language, one learns a particular moral framework from one's environment, but the biological components necessary for moral development are universal. While I agree with Hauser's overall conclusion regarding moral instincts, I reject the notion that a purely biological analysis of morality can provide an adequate framework for justification. The problem, as I see it, is Hauser acknowledges the bottom-up influences taking place between biology and moral formation, but he refuses to account for the top-down influences that occur between metaphysical assumptions, moral beliefs, and biological conclusions. Thus, the current critique will focus on the connection between Hauser's failure to account for top-down influence and the subsequent shortcoming related to moral justification.     

The nature of the memory buffer in implicit learning: Learning Chinese tonal symmetries

Previous research has established that people can implicitly learn chunks, which (in terms of formal language theory) do not require a memory buffer to process. The present study explores the implicit learning of nonlocal dependencies generated by higher than finite-state grammars, specifically, Chinese tonal retrogrades (i.e. centre embeddings generated from a context-free grammar) and inversions (i.e. cross-serial dependencies generated from a mildly context-sensitive grammar), which do require buffers (for example, last in-first out and first in-first out, respectively). People were asked to listen to and memorize artificial poetry instantiating one of the two grammars; after this training phase, people were informed of the existence of rules and asked to classify new poems, while providing attributions of the basis of their judgments. People acquired unconscious structural knowledge of both tonal retrogrades and inversions. Moreover, inversions were implicitly learnt more easily than retrogrades constraining the nature of the memory buffer in computational models of implicit learning.     

Saying what you mean, meaning what you say: language, interaction and interpretation

As analysts, we strive to say what we mean, which involves understanding the other person's communication, finding the appropriate form of words to articulate what we have understood, and expressing them in the tone of voice which can be heard. Meaning what we say refers to the authenticity of our response, that what we say is sincere. My theme touches on different ways of saying what we mean and how this can affect the meaning of what we say. Some of the issues are aesthetic, some grammatical. How some sentence structures lead to closing off communication while others open it.     

The impact of adjacent-dependencies and staged-input on the learnability of center-embedded hierarchical structures

A theoretical debate in artificial grammar learning (AGL) regards the learnability of hierarchical structures. Recent studies using an AⁿBⁿ grammar draw conflicting conclusions (Bahlmann and Friederici, 2006 and [De Vries et al., 2008] ). We argue that 2 conditions crucially affect learning AⁿBⁿ structures: sufficient exposure to zero-level-of-embedding (0-LoE) exemplars and a staged-input. In 2 AGL experiments, learning was observed only when the training set was staged and contained 0-LoE exemplars. Our results might help understanding how natural complex structures are learned from exemplars.     

How Many Mechanisms Are Needed to Analyze Speech? A Connectionist Simulation of Structural Rule Learning in Artificial Language Acquisition

Some empirical evidence in the artificial language acquisition literature has been taken to suggest that statistical learning mechanisms are insufficient for extracting structural information from an artificial language. According to the more than one mechanism (MOM) hypothesis, at least two mechanisms are required in order to acquire language from speech: (a) a statistical mechanism for speech segmentation; and (b) an additional rule-following mechanism in order to induce grammatical regularities. In this article, we present a set of neural network studies demonstrating that a single statistical mechanism can mimic the apparent discovery of structural regularities, beyond the segmentation of speech. We argue that our results undermine one argument for the MOM hypothesis.     

THE SUPERNATURAL AS LANGUAGE GAME

Abstract. For many in the Anglo‐American tradition of language analysis, Ludwig Wittgenstein, the great progenitor of twentieth‐century philosophy of language, showed conclusively that theological terms lack any referent in reality and therefore represent a discourse that can do no more than manifest the existential attitudes that speakers take toward reality as a whole. To think that such terms represent more is to be bewitched by the use of language. Is it possible, however, that theological language references a fundamental human drive? In this article I reexamine the dyad of nature and supernature from the perspective of Wittgenstein's philosophy. Perhaps surprisingly, Wittgenstein's thought on the subject offers much more than his famous, terse aphorism at the conclusion of his first masterwork, the Tractatus Logico‐Philosophicus ([1921] 1961, 74, §7): “What we cannot speak about we must pass over in silence.” Furthermore, the basic Tractarian drive to determine the relationship between language and reality, which is redirected but not extinguished in Wittgenstein's second, divergent, opus, the Philosophical Investigations ([1953] 1967), may be the place for a renewed examination of what the supernatural means in human discourse. Does talk of God give expression to the fundamental transcendence of human knowledge? Is it a language game we can eschew?