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365 result(s) for "Adoption Fiction."
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Red thread sisters
After an American family adopts eleven-year-old Wen from a Chinese orphanage, she vows to find a family for her best friend, too.
Looking for Oliver
While clearing through her mother's bedroom after her death, Emma comes across a thirty-year-old newspaper clipping that her mother had kept, announcing the arrival of a new baby boy. Realizing that the baby must be the son she gave up for adoption, Emma becomes transfixed by this link to her first-born. But she now has a husband and two teenage children, all of whom know nothing of her past...Vividly recalling the stigma of her schoolgirl pregnancy and the pain of her separation from the baby, this absorbing and illuminating story follows Emma's search, years later, for Oliver, her adopted son.
Pick a pup
After observing different types of dogs in his neighborhood, Sam and Gram go to the local pet shelter to choose a puppy.
Artificial Intelligence in News Media: Current Perceptions and Future Outlook
In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, and planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.
Just right family : an adoption story
\"When Meili learns her parents are adopting another child, she must accept the role of big sister and realize a new addition can be just right too\"-- Provided by publisher.
Life Lines
Adoptions that cross the lines of culture, race and nation are a major consequence of conflicts around the globe, yet their histories and representations have rarely been considered. Life Lines: Writing Transcultural Adoption is the first critical study to explore narratives of transcultural adoption from contemporary Britain, Ireland and America: fictions, films and memoirs made by those within the adoption ‘triad’ or those concerned with the pain and possibilities of transcultural adoption. While acknowledging the sobering inequalities which engender transcultural adoptions and the lasting upset of sundered relations, at the same time John McLeod considers the transfigurative and creative propensity of imagining transcultural adoption as radically calling into question ideas of biogenetic attachment, racial genealogy, cultural identity and normative family-making. How might the predicament of ‘being adopted’ transculturally enable the transformative agency of ‘adoptive being’ for all? Exploring works by Andrea Levy, Barbara Kingsolver, Toni Morrison, Sebastian Barry, Caryl Phillips, Jackie Kay and several others, Life Lines makes a groundbreaking intervention in such fields as transcultural studies, postcolonial thought, and adoption theory and practice.
Won Ton : a cat tale told in haiku
A cat arrives at a shelter, arranges to go home with a good family, and settles in with them, all the while letting them know who is boss and, finally, sharing his real name.
The psychological and functional factors driving metaverse resistance
PurposeWhile the metaverse is promised to be the next big step for the Internet, this new technology may also bear negative impacts on individuals and society. Drawing on innovation resistance literature, this article explores the reasons for metaverse resistance.Design/methodology/approachThe study is based on 66 semi-structured interviews, and the subsequent data were analysed thematically.FindingsThe findings revealed 11 reasons for metaverse resistance: lack of understanding, lack of regulation, addiction avoidance, claustrophobia, loss of social ties, disconnection from reality, privacy concerns, extreme consumer society, unseen benefits, infeasibility and nausea.Practical implicationsBy understanding the various reasons for metaverse resistance managers and policymakers can make better decisions to overcome the challenges facing this innovation, rather than adopting a “one-size-fits-all” approach.Originality/valueWhile the literature has mainly adopted a positive perspective on the metaverse, this research offers a more nuanced view by identifying the reasons why consumers may resist the metaverse. Furthermore, this study introduces for the first-time “addiction-driven-innovation-resistance (ADIR)” as a potential reason for metaverse resistance, which may also apply to other cases of innovation resistance, when new innovations are perceived as being “too good” and therefore potentially addictive.