MAY 2014. The Irish public woke to the horrific discovery of a mass grave containing the remains of most 800 babies in the ‘Angels’ Plot’ of Tuam’s Mother and Baby Home. What followed would rock the last vestiges of Catholic Ireland, enrage an increasingly secularised nation, and lead to a Commission of Inquiry. In The Adoption Machine, Paul Jude Redmond, Chairperson of the Coalition of Mother and Baby Homes Survivors, who himself was born in the Castlepollard Home, candidly reveals the shocking history of one of the worst abuses of Church power since the foundation of the Irish State. From Bessboro, Castlepollard, and Sean Ross Abbey to St. Patrick’s and Tuam, a dark shadow was cast by the collusion between Church and State in the systematic repression of women and the wilful neglect of illegitimate babies, resulting in the deaths of thousands. It was Paul’s exhaustive research that widened the global media’s attention to all the homes and revealed Tuam as just the tip of the iceberg of the horrors that lay beneath. He further reveals the vast profits generated by selling babies to wealthy adoptive parents, and details how infants were volunteered to a pharmaceutical company for drug trials without the consent of their natural mothers. Interwoven throughout is Paul’s poignant and deeply personal journey of discovery as he attempts to find his own natural mother. The Adoption Machine exposes this dark history of Ireland’s shameful and secret past, and the efforts to bring it into the light. It is a history from which there is no turning away.

A New York Times Notable Book The shocking truth about postwar adoption in America, told through the bittersweet story of one teenager, the son she was forced to relinquish, and their search to find each other. “[T]his book about the past might foreshadow a coming shift in the future… ‘I don’t think any legislators in those states who are anti-abortion are actually thinking, “Oh, great, these single women are gonna raise more children.” No, their hope is that those children will be placed for adoption. But is that the reality? I doubt it.’”[says Glaser]” -Mother Jones During the Baby Boom in 1960s America, women were encouraged to stay home and raise large families, but sex and childbirth were taboo subjects. Premarital sex was common, but birth control was hard to get and abortion was illegal. In 1961, sixteen-year-old Margaret Erle fell in love and became pregnant. Her enraged family sent her to a maternity home, where social workers threatened her with jail until she signed away her parental rights. Her son vanished, his whereabouts and new identity known only to an adoption agency that would never share the slightest detail about his fate. The adoption business was founded on secrecy and lies. American Baby lays out how a lucrative and exploitative industry removed children from their birth mothers and placed them with hopeful families, fabricating stories about infants' origins and destinations, then closing the door firmly between the parties forever. Adoption agencies and other organizations that purported to help pregnant women struck unethical deals with doctors and researchers for pseudoscientific "assessments," and shamed millions of women into surrendering their children. The identities of many who were adopted or who surrendered a child in the postwar decades are still locked in sealed files. Gabrielle Glaser dramatically illustrates in Margaret and David’s tale--one they share with millions of Americans—a story of loss, love, and the search for identity.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

In 1946, twenty-six-year-old Bridget Dolan walked up the path to the front door of the Tuam Mother and Baby Home. Alone and pregnant, she was following in the footsteps of more than a century's worth of lost souls. Shunned by society for her sins and offered no comfort for her pain, Bridget gave birth to a boy, John, who died at the home in a horrendous state of neglect less than two years later. Her second child was once again delivered into the care of the nuns and was taken from her, never to be seen or heard from again. She would go on to marry a wonderful man and have a daughter, Anna Corrigan, but it was only after Bridget's death that Anna discovered she had two brothers her mother had never spoken about. In the aftermath of the explosive revelations that the remains of 796 babies had been found in a septic tank on the site of the Tuam Mother and Baby Home, she became compelled to try and find out if her baby brothers' remains were among them. Here, Anna and Alison O'Reilly piece together the erased chapter of the life of Bridget Dolan and her forgotten sons, reminding us that we must never forget what was done to the women and children of the Tuam Mother and Baby Home.

Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Automation and AI will augment our human world and potential. The winners of the future of work are those that harness the power of machines to their advantage. Human/Machine is the only guide you need to understand the fourth industrial revolution. It sets out a road map to the challenges ahead, but also unlocks the wondrous opportunities that it offers. Human/Machine explores how we will work symbiotically with machines, detailing how institutions, companies, individuals and education providers will evolve to integrate seamlessly with new technologies. With exclusive case studies, this book offers a glimpse into the future and details how top companies are already thriving on this very special relationship. From gamification in job training to project management teams integrated with bots and predictive technologies that fix problems in the supply chain before they happen, the authors deliver a powerful manifesto for the adoption and celebration of automation and AI. In a much more fluid, skills-based economy, we will all need to prove our worth and future-proof our skills base. This book offers a blueprint to avoid being left behind and unearth the opportunities unique to human-machine partnership ecosystems.

This essay examines the primacy of worldbuilding in the age of CGI, transmedia practices and "high concept" fiction by studying the principles that govern the creation of a multiverse in a wide range of film and TV productions. Emphasis is placed on Hollywood sci-fi movies and their on-screen representation of imaginary machines that mirror the film medium, following in the tradition of Philip K. Dick's writings and the cyberpunk culture. A typology of worlds is established, as well as a number of analytical tools for assessing the impact of the coexistence of two or more worlds on the narrative structure, the style (uses of color, editing practices), the generic affiliation (or hybridity), the seriality and the discourse produced by a given film (particularly in fictions linked to post-9/11 fantasies). Among the various titles examined, the reader is offered a detailed analysis of the Resident Evil film series, Total Recall and its remake, Dark City, the Matrix trilogy, Avatar, Source Code and other time-loop films, TRON and its sequel, Christopher Nolan's Tenet, and several TV shows – most notably HBO's Westworld, but also Sliders, Lost, Fringe and Counterpart.

“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.

Faxed is the first history of the facsimile machine—the most famous recent example of a tool made obsolete by relentless technological innovation. Jonathan Coopersmith recounts the multigenerational, multinational history of that device from its origins to its workplace glory days, in the process revealing how it helped create the accelerated communications, information flow, and vibrant visual culture that characterize our contemporary world. Most people assume that the fax machine originated in the computer and electronics revolution of the late twentieth century, but it was actually invented in 1843. Almost 150 years passed between the fax’s invention in England and its widespread adoption in tech-savvy Japan, where it still enjoys a surprising popularity. Over and over again, faxing’s promise to deliver messages instantaneously paled before easier, less expensive modes of communication: first telegraphy, then radio and television, and finally digitalization in the form of email, the World Wide Web, and cell phones. By 2010, faxing had largely disappeared, having fallen victim to the same technological and economic processes that had created it. Based on archival research and interviews spanning two centuries and three continents, Coopersmith’s book recovers the lost history of a once-ubiquitous technology. Written in accessible language that should appeal to engineers and policymakers as well as historians, Faxed explores themes of technology push and market pull, user-based innovation, and "blackboxing" (the packaging of complex skills and technologies into packages designed for novices) while revealing the inventions inspired by the fax, how the demand for fax machines eventually caught up with their availability, and why subsequent shifts in user preferences rendered them mostly passé.

"This volume uncovers and substantiates evidence of the mandate in Canada, interrogates social work policies and practices, revisits the semi-incarceral "homes for unwed mothers," and quantifies the mandate through an extensive review of provincial reports; ultimately finding that approximately 300,000 unmarried mothers in Canada were impacted by illegal and unethical adoption practices, human rights abuses, and violence against the maternal body."--

Adoption has long been enmeshed in the politics of abortion. But as award-winning journalist Joyce makes clear, adoption has lately become entangled in the conservative Christian agenda.