Intention, interpretation and the computational structure of language

I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex representations implicit in our knowledge of language. To develop the account, I argue that natural language is structured in a way that lets us formalize grammatical knowledge precisely in terms of rich primitives of interpretation. Primitives of interpretation can be correctly viewed intentionally, as explanations of our choices of linguistic actions; the model therefore fits our intuitions about meaning in conversation. Nevertheless, interpretations for complex utterances can be built from these primitives by simple operations of grammatical derivation. In bridging analyses of meaning at semantic and symbol-processing levels, this account underscores the fundamental place for computation in the cognitive science of language use.     

Emotional stressors among volunteers operating a diaconal suicide-prevention crisis line in Norway: a qualitative study

ABSTRACT

Despite the worldwide proliferation of suicide-prevention crisis-line networks, there is limited in-depth knowledge of how the volunteer call responders experience and manage emotional stressors. The study’s purpose was to explore emotional stressors related to operating a diaconal suicide-prevention crisis line, and how these are managed in daily operations. In this qualitative study, 27 volunteers were interviewed in four focus groups. The material was analysed using systematic text condensation. The participants experienced emotional stressors related to being unable to actively intervene, encountering traumatised callers and feeling uncertain about representing the Church. They used a combination of personal coping strategies and organisational support factors. Implications for training and practice are further discussed.