The Adoption Machine

The Adoption Machine

Author: Paul Jude Redmond

Publisher: Merrion Press

Published: 2018-03-20

Total Pages: 332

ISBN-13: 1785371797

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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.


American Baby

American Baby

Author: Gabrielle Glaser

Publisher: Penguin

Published: 2021-01-26

Total Pages: 354

ISBN-13: 0735224692

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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.


Interpretable Machine Learning

Interpretable Machine Learning

Author: Christoph Molnar

Publisher: Lulu.com

Published: 2020

Total Pages: 320

ISBN-13: 0244768528

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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.


Cinema as a Worldbuilding Machine in the Digital Era

Cinema as a Worldbuilding Machine in the Digital Era

Author: Alain Boillat

Publisher: Indiana University Press

Published: 2023-01-03

Total Pages: 345

ISBN-13: 0861969820

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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: How Irrationality Created Modern Science

The Knowledge Machine: How Irrationality Created Modern Science

Author: Michael Strevens

Publisher: Liveright Publishing

Published: 2020-10-13

Total Pages: 368

ISBN-13: 1631491385

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“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.


My Name is Bridget

My Name is Bridget

Author: Alison O'Reilly

Publisher: Gill & Macmillan Ltd

Published: 2018-04-20

Total Pages: 349

ISBN-13: 0717180433

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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.


Faxed

Faxed

Author: Jonathan Coopersmith

Publisher: JHU Press

Published: 2015-02-28

Total Pages: 321

ISBN-13: 1421415917

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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.


Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Author: Om Prakash Jena

Publisher: CRC Press

Published: 2022

Total Pages: 0

ISBN-13: 9781003252009

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"This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity"--


Before and After

Before and After

Author: Judy Christie

Publisher: Ballantine Books

Published: 2019-10-22

Total Pages: 321

ISBN-13: 0593130154

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The compelling, poignant true stories of victims of a notorious adoption scandal—some of whom learned the truth from Lisa Wingate’s bestselling novel Before We Were Yours and were reunited with birth family members as a result of its wide reach From the 1920s to 1950, Georgia Tann ran a black-market baby business at the Tennessee Children’s Home Society in Memphis. She offered up more than 5,000 orphans tailored to the wish lists of eager parents—hiding the fact that many weren’t orphans at all, but stolen sons and daughters of poor families, desperate single mothers, and women told in maternity wards that their babies had died. The publication of Lisa Wingate’s novel Before We Were Yours brought new awareness of Tann’s lucrative career in child trafficking. Adoptees who knew little about their pasts gained insight into the startling facts behind their family histories. Encouraged by their contact with Wingate and award-winning journalist Judy Christie, who documented the stories of fifteen adoptees in this book, many determined Tann survivors set out to trace their roots and find their birth families. Before and After includes moving and sometimes shocking accounts of the ways in which adoptees were separated from their first families. Often raised as only children, many have joyfully reunited with siblings in the final decades of their lives. Christie and Wingate tell of first meetings that are all the sweeter and more intense for time missed and of families from very different social backgrounds reaching out to embrace better-late-than-never brothers, sisters, and cousins. In a poignant culmination of art meeting life, many of the long-silent victims of the tragically corrupt system return to Memphis with the authors to reclaim their stories at a Tennessee Children’s Home Society reunion . . . with extraordinary results. Advance praise for Before and After “In Before and After, authors Judy Christie and Lisa Wingate tackle the true stories behind Wingate’s blockbuster Before We Were Yours, of the orphans who survived the Tennessee Children’s Home Society. With a journalist’s keen eye and a novelist’s elegant prose, Christie and Wingate weave together the stories that inspired Before We Were Yours with the lives that were changed as a result of reading the novel. Readers will be educated, enlightened, and enraptured by this important and flawlessly executed book.”—Pam Jenoff, author of The Orphan’s Tale and The Lost Girls of Paris


Getting Started with Data Science

Getting Started with Data Science

Author: Murtaza Haider

Publisher: IBM Press

Published: 2015-12-14

Total Pages: 942

ISBN-13: 0133991237

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Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.