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Women's self-esteem is more strongly related to social acceptance and inclusion than to accomplishments. We investigated the extent to which women derive self-esteem from being women, that is, from their membership in a collective gender group. We hypothesized and found that women's collective self-esteem (i.e., self-esteem derived from their gender group) would systematically vary for women showing differing degrees of feminist development. Thus, women's self-esteem derived from womanhood seems to depend on the "meaning" of womanhood to the individual woman. 相似文献
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This paper describes a computer simulation of reading that is strongly driven by eye fixation data from human readers. The simulation, READER, is a natural language understanding system that reads a text word by word and whose processing cycles on each word have some correspondence with the human gaze duration on that word. READER operates within a newly developed information processing architecture, a Collaborative, Activation-based, Production System (CAPS) that permits the modeling of the temporal properties of human comprehension. CAPS allows for concurrent, collaborative execution of processes operating at different levels of analysis. As READER encounters each successive word, the word is operated on by processes at the levels of word encoding, lexical access, syntactic and semantic analysis, and referential and schema-level processes. Like human readers, READER uses a strategy of immediacy of comprehension, attempting to interpret each word as soon as it is encountered, rather than unnecessarily buffering information. A major contribution of this simulation is its use of human performance characteristics in constraining and determining the model's mechanisms. 相似文献
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