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"Henson, Jim"
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Jim Henson's tale of sand
An original graphic novel adaptation of an unproduced, feature-length screenplay follows scruffy everyman Mac, who wakes up in an unfamiliar town and is chased across the desert of the American Southwest by all manners of man and beast of unimaginable proportions.
Book
Jim Henson and philosophy
Jim Henson's creations have inspired generations with characters that are among the world's most recognizable cultural icons. From Kermit the Frog, Miss Piggy and their Muppet friends to the legendary Sesame Street and Children's Television Workshop, Henson revolutionized children's educational entertainment. Combining live action and puppeteering into fantastical narratives like The Dark Crystal and Labyrinth, as well as the whimsical Fraggle Rock and The Storyteller, Henson transformed imagination into reality, weaving together powerful philosophical messages on identity, community, diversity, love, death, and friendship. Henson never shied away from exploring deep questions, nor did he underestimate the ability of children (or adults) to grapple with profound philosophical questions. Jim Henson and Philosophy explores the entertaining and educational world of the genius's creations, revealing what it is about Henson's world that has touched us so deeply and improved our lives in such meaningful ways. Contributions by: Lauren Ashwell, Kimberly Baltzer-Jaray, David R. Burns, Samantha Brennan, Amanda Cawston, Brooke Covington, Christopher M. Culp, Ryan Cox, Natalie M. Fletcher, Victoria Hubbell, Dena Hurst, Christopher Ketcham, S. Evan Kreider, Shaun Leonard, Jennifer Marra, Michael J. Muniz, Laurel Ralston, Rhona Trauvitch, and Sheryl Tuttle Ross.
eBook
Good and Radical Bread: Bread and Puppet Theater's Sourdough Traditions
A closer examination of how the theaters bread is made, its relationship to puppet construction, founder Peter Schumann's connection to bread during a war-torn childhood, bread as a global symbol for revolution, and bread breaking as an act of solidarity, reveals the theater's alignment with the working and peasantry class. [...]while puppetry and bread demonstrate the theater's ideological views, bread breaking traditions at the theater create a moment when puppeteers and audience members join materially and ideologically with everyday working people against state, military, and upper-class power. Over time, naturally occurring yeast in the flour and in the air begins to breed, and the dough blooms with life, each a unique imprint of the starter's geographic microbial biome. Comparing similarities in the way bread and puppets are constructed, and the entangled relationship between their material and performance aspects, helps enliven our understanding of the performativity of bread at Bread and Puppet Theater. Both are shown as equally important and equal necessities, much like the U.S. labor movement s call for both bread and roses, the sustenance of food and art. [...]there is the expectation that although the band's performance has ended, the
Journal Article
I am Jim Henson
This volume focuses on Jim Henson, the creator of the Muppets and Sesame Street.
Book
Efficient Transformer Based Sentiment Classification Models
Recently, transformer models have gained significance as a state-of-the art technique for sentiment prediction based on text. Attention mechanism of transformer model speeds up the training process by allowing modelling of dependencies without regard to their distance in the input or output sequences. There are two types of transformer models – transformer base models and transformer large models. Since the implementation of large transformer models need better hardware and more training time, we propose new simpler models or weak learners with lower training time for sentiment classification in this work. These models enhance the speed of performance without compromising the classification accuracy. The proposed Efficient Transformer-based Sentiment Classification (ETSC) models are built by setting configuration of large models as minimum, shuffling dataset randomly and experimenting with various percentages of training data. Early stopping and smaller batch size in training techniques improve the accuracy of the proposed model. The proposed models exhibit promising performance in comparison with existing transformer-based sentiment classification models in terms of speed and accuracy.
Journal Article
Mirrors and Windows: Lucille Clifton and African American Identity in Children’s Books
In March 2024, the Guest Editor of this Special Issue on African American Children’s Literature attended the first of its kind—a day-long symposium specifically devoted to African American children’s literature [...]
Journal Article
