scispace - formally typeset
Search or ask a question
Topic

Face (sociological concept)

About: Face (sociological concept) is a research topic. Over the lifetime, 5171 publications have been published within this topic receiving 96109 citations. The topic is also known as: Lose face & Face (sociological concept).


Papers
More filters
Journal ArticleDOI
TL;DR: Managers often face situations that challenge their ability to reason morally as discussed by the authors, and a variety of factors, including the issue itself and personal and organizational influences, may affect their responses.
Abstract: Managers often face situations that challenge their ability to reason morally. Avariety of factors, including the issue itself and personal and organizational influences, may affect their responses...

128 citations

Journal ArticleDOI
TL;DR: In this paper, the British butler of Kazuo Ishiguro's award-winning novel, The remains of the day, replies to one of the gentlemen in the group, "I'm very sorry, sir; but I am unable to be of assistance on this matter" (p. 195).
Abstract: When asked by a group of toying aristocrats whether he has an opinion about certain events in world politics, Stevens, the British butler of Kazuo Ishiguro's award-winning novel, The remains of the day, replies to one of the gentlemen in the group, “I'm very sorry, sir; but I am unable to be of assistance on this matter” (p. 195). It is the kind of indirect apology that Rosina Marquez Reiter would find delicious and perfect proof of her working thesis that British speakers (especially when compared with Uruguayan speakers) try to maintain “face” as much as possible while at the same time trying to mitigate potential threats that might arise between speakers.

127 citations

Journal ArticleDOI
TL;DR: It is concluded that converging data from these fields strongly suggests that face processing is conducted by a dedicated and complex neural system, is not human specific, and is unlikely to have emerged recently in evolutionary history.
Abstract: Faces are crucial for nonverbal communication in humans and related species. From the first moments of life, newborn infants prefer to look at human faces over almost any other form of stimuli. Since this finding was first observed, there has been much debate regarding the “special” nature of face processing. Researchers have put forward numerous developmental models that attempt to account for this early preference and subsequent maturation of the face processing system. In this article, we review these models and their supporting evidence drawing on literature from developmental, evolutionary, and comparative psychology. We conclude that converging data from these fields strongly suggests that face processing is conducted by a dedicated and complex neural system, is not human specific, and is unlikely to have emerged recently in evolutionary history.

127 citations

Posted ContentDOI
TL;DR: DeepEnroll as mentioned in this paper applies a pre-trained Bidirectional Encoder Representations from Transformers (BERT) model to encode clinical trial information into sentence embedding and uses a hierarchical embedding model to represent patient longitudinal EHR.
Abstract: Clinical trials are essential for drug development but often suffer from expensive, inaccurate and insufficient patient recruitment. The core problem of patient-trial matching is to find qualified patients for a trial, where patient information is stored in electronic health records (EHR) while trial eligibility criteria (EC) are described in text documents available on the web. How to represent longitudinal patient EHR? How to extract complex logical rules from EC? Most existing works rely on manual rule-based extraction, which is time consuming and inflexible for complex inference. To address these challenges, we proposed DeepEnroll, a cross-modal inference learning model to jointly encode enrollment criteria (text) and patients records (tabular data) into a shared latent space for matching inference. DeepEnroll applies a pre-trained Bidirectional Encoder Representations from Transformers(BERT) model to encode clinical trial information into sentence embedding. And uses a hierarchical embedding model to represent patient longitudinal EHR. In addition, DeepEnroll is augmented by a numerical information embedding and entailment module to reason over numerical information in both EC and EHR. These encoders are trained jointly to optimize patient-trial matching score. We evaluated DeepEnroll on the trial-patient matching task with demonstrated on real world datasets. DeepEnroll outperformed the best baseline by up to 12.4% in average F1.

127 citations

Book
31 Oct 2008
TL;DR: The Liberating Voices project as discussed by the authors proposes a new model of social change that integrates theory and practice by showing how information and communication (whether face-to-face, broadcast, or Internet-based) can be used to address urgent social and environmental problems collaboratively.
Abstract: In recent decades we have witnessed the creation of a communication system that promises unparalleled connectedness. And yet the optimistic dreams of Internet-enabled engagement and empowerment have faded in the face of widespread Internet commercialization. In Liberating Voices, Douglas Schuler urges us to unleash our collective creativitysocial as well as technologicaland develop the communication systems that are truly needed. Inspired by the vision and framework outlined in Christopher Alexander's classic 1977 book, A Pattern Language, Schuler presents a pattern language containing 136 patterns designed to meet these challenges. Using this approach, Schuler proposes a new model of social change that integrates theory and practice by showing how information and communication (whether face-to-face, broadcast, or Internet-based) can be used to address urgent social and environmental problems collaboratively. Each of the patterns that form the pattern language (which was developed collaboratively with nearly 100 contributors) is presented consistently; each describes a problem and its context, a discussion, and a solution. The pattern language begins with the most general patterns ("Theory") and proceeds to the most specific ("Tactics"). Each pattern is a template for research as well as action and is linked to other patterns, thus forming a single coherent whole. Readers will find Liberating Voices an intriguing and informative catalog of contemporary intellectual, social, and technological innovations, a practical manual for citizen activism, and a compelling manifesto for creating a more intelligent, sustainable, and equitable world.

126 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20248
20235,479
202212,139
2021284
2020199
2019207