The Last Stand (2013)Well, if you take this too seriously you're missing the point. It's a comedy, and if not quite a parody of a tough lawman against the odds plot, it pumps up all the clichés nicely. It's fast, well done, and appropriately preposterous. And Arnold Schwarzenegger is true to form, even joking once about his getting old.In a way, this is Arnold trying to be a bit like Clint. Clint Eastwood that is. Because Schwarzenegger is playing a sheriff in a lonely western town. When a bad boy drug lord (a very cute one) is set to be blast through in his Corvette, this sheriff, Ray Owens, won't tolerate it. Of course. Who would?In this hyped up against-the-odds yarn, we have some excellent if well-worn clichés. First, the FBI gets its usual due. They are a professional team led by the ever-enjoyable Forrest Whittaker, but of course they are a bit too professional, and arrogant, and they make constant little mistakes of misjudgment. So the bad guy on the loose is on collision course with Owens with his rag-tag friends in his Arizona border town. I didn't expect to like this, but ended up captivated. It works the same way a "Die Hard" movie works--fast plot, do good hero, nasty bad guys, and jokes. It's not realistic, but the characters are believable. This is in contrast to a movie I saw a couple days ago along the same lines (loner man against evil), "Jack Reacher," which was filled with such strained dialog and absurd plot conditions it was irritating. "The Last Stand" has the advantage of not taking itself seriously, and so it's great fun and well done fun all along.Yes, it's stupid. I mean, come on, that's the point! But it's smart stupid. If you have an open mind for this stuff, give it a shot.
Cognitive science has a longstanding interest in the ways that people acquire and use abstract vs. concrete words (e.g., truth vs. piano). One dominant theory holds that abstract and concrete words are subserved by two parallel semantic systems. We recently proposed an alternative account of abstract-concrete word representation premised upon a unitary, high dimensional semantic space wherein word meaning is nested. We hypothesize that a range of cognitive and perceptual dimensions (e.g., emotion, time, space, color, size, visual form) bound this space, forming a conceptual topography. Here we report a normative study where we examined the clustering properties of a sample of English words (N = 750) spanning a spectrum of concreteness in a continuous manner from highly abstract to highly concrete. Participants (N = 328) rated each target word on a range of 14 cognitive dimensions (e.g., color, emotion, valence, polarity, motion, space). The dimensions reduced to three factors: Endogenous factor, Exogenous factor, and Magnitude factor. Concepts were plotted in a unified, multimodal space with concrete and abstract concepts along a continuous continuum. We discuss theoretical implications and practical applications of this dataset. These word norms are freely available for download and use at -coglab.com/data/. PMID:29075224
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Cognitive science has a longstanding interest in the ways that people acquire and use abstract vs. concrete words (e.g., truth vs. piano). One dominant theory holds that abstract and concrete words are subserved by two parallel semantic systems. We recently proposed an alternative account of abstract-concrete word representation premised upon a unitary, high dimensional semantic space wherein word meaning is nested. We hypothesize that a range of cognitive and perceptual dimensions (e.g., emotion, time, space, color, size, visual form) bound this space, forming a conceptual topography. Here we report a normative study where we examined the clustering properties of a sample of English words ( N = 750) spanning a spectrum of concreteness in a continuous manner from highly abstract to highly concrete. Participants ( N = 328) rated each target word on a range of 14 cognitive dimensions (e.g., color, emotion, valence, polarity, motion, space). The dimensions reduced to three factors: Endogenous factor, Exogenous factor, and Magnitude factor. Concepts were plotted in a unified, multimodal space with concrete and abstract concepts along a continuous continuum. We discuss theoretical implications and practical applications of this dataset. These word norms are freely available for download and use at -coglab.com/data/. 2ff7e9595c
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