Women at Work: Working Girl, Disclosure and the Evolution of Professional Female Stereotypes

In this analysis, I examine how stereotypes of working women function in some of the most popular film and television shows made in past thirty years. A study of films such as Working Girl and Disclosure and television shows such Ally McBeal and Sex and the City within a second-wave and postfeminist framework ultimately reveals that Hollywood stereotypes of working women have evolved very little and simply become more creatively disguised

OSARI, an Open-Source Anticipated Response Inhibition Task

The stop-signal paradigm has become ubiquitous in investigations of inhibitory control. Tasks inspired by the paradigm, referredto as stop-signal tasks, require participants to make responses on go trials and to inhibit those responses when presented with astop-signal on stop trials. Currently, the most popular version of the stop-signal task is the ‘choice-reaction’ variant, whereparticipants make choice responses, but must inhibit those responses when presented with a stop-signal. An alternative to thechoice-reaction variant of the stop-signal task is the ‘anticipated response inhibition’ task. In anticipated response inhibition tasks,participants are required to make a planned response that coincides with a predictably timed event (such as lifting a finger from acomputer key to stop a filling bar at a predefined target). Anticipated response inhibition tasks have some advantages over themore traditional choice-reaction stop-signal tasks and are becoming increasingly popular. However, currently, there are noopenly available versions of the anticipated response inhibition task, limiting potential uptake. Here, we present an open-source,free, and ready-to-use version of the anticipated response inhibition task, which we refer to as the OSARI (the Open-SourceAnticipated Response Inhibition) task

Universal Dependencies 2.8.1

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). Version 2.8.1 fixes a bug in 2.8 where a portion of the Dutch Alpino treebank was accidentally omitted

Universal Dependencies 2.7

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

Universal Dependencies 2.10

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

Universal Dependencies 2.11

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

Universal Dependencies 2.3

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)