Advocacy Versus Scholarship Revisited: Issues in the Psychology of Women

The apparently contradictory relationship between advocacy and scholarship is examined in this article, which attempts to determine how much of the dilemma is due to the nature of the psychology of women itself and how much is a result of interaction with the social institutions of academia and the structure of psychology as a scientific discipline. Factors which impede the legitimization of new paradigms are discussed from a sociology of knowledge perspective. The additional dilemmas of women as scientists, women as a content area, and feminism as a theoretical conception are also considered. It is suggested that professional legitimacy is a property largely conferred by those outside the field and that collective rather than personal activities will determine the extent to which the psychology of women will affect the field as a whole.     

No frills: Simple regularities in language can go a long way in the development of word knowledge

Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of these models raise the intriguing possibility that exposure to word use in language also shapes the word knowledge that children amass during development. However, this possibility is strongly challenged by the fact that models use language input and learning mechanisms that may be unavailable to children. Across three studies, we found that unrealistically complex input and learning mechanisms are unnecessary. Instead, simple regularities of word use in children's language input that they have the capacity to learn can foster knowledge about word meanings. Thus, exposure to language may play a simple but powerful role in children's growing word knowledge. A video abstract of this article can be viewed at https://youtu.be/dT83dmMffnM .

Research Highlights

• Natural Language Processing (NLP) models can learn that words are similar in meaning from higher-order statistical regularities of word use.
• Unlike NLP models, infants and children may primarily learn only simple co-occurrences between words.
• We show that infants' and children's language input is rich in simple co-occurrence that can support learning similarities in meaning between words.
• We find that simple co-occurrences can explain infants' and children's knowledge that words are similar in meaning.