Scaling urban sustainability experiments: Contextualization as an innovation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2019.04.061
Abstract: Abstract Research shows urban sustainability experiments are critical for sustainability transition in cities and beyond, especially when they are multiplied in other contexts and upscaled. Even with a growing body of literature on sustainability experiments,… read more here.
Keywords: contextualization; scaling urban; urban sustainability; innovation ... See more keywords
From “context” to “active contextualization”: Fostering learner agency in contextualizing learning through science news reporting
Sign Up to like & getrecommendations! Published in 2020 at "Learning, Culture and Social Interaction"
DOI: 10.1016/j.lcsi.2019.100374
Abstract: Abstract Learning context has been an important focus of research and pedagogy-related discussions in education. However, despite increasing efforts to contextualize content and pedagogical processes, context has been often conceptualized as a static input variable… read more here.
Keywords: learner agency; active contextualization; contextualization; science news ... See more keywords
Contextualization as a means to improve the predictive validity of personality models
Sign Up to like & getrecommendations! Published in 2019 at "Personality and Individual Differences"
DOI: 10.1016/j.paid.2019.03.007
Abstract: Abstract Research investigating performance-related outcomes has established that the predictive validity of Big Five models can be doubled, simply by contextualizing scale items. We herein test whether this contextualization effect can be leveraged to universally… read more here.
Keywords: contextualization; improve predictive; predictive validity; validity personality ... See more keywords
LMFingerprints: Visual Explanations of Language Model Embedding Spaces through Layerwise Contextualization Scores
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14541
Abstract: Language models, such as BERT, construct multiple, contextualized embeddings for each word occurrence in a corpus. Understanding how the contextualization propagates through the model's layers is crucial for deciding which layers to use for a… read more here.
Keywords: contextualization; visual explanations; embedding spaces; explanations language ... See more keywords