Products related to Bias:
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Bias-aware Teaching, Learning and Assessment
This book offers university teachers informed and practical strategies for raising awareness of bias in teaching, learning and assessment practices.Conscious and unconscious biases influence judgements, perceptions, decision making and actions, and societal awareness has now turned the spotlight on how higher education (HE) is addressing bias at institutional and individual levels. The urgency to do so is evidenced through recent studies which reveal the extent of the effects of discrimination and exclusion experienced by individual students, groups of students and members of staff.It can be difficult to know where to start and how to sustain effective impact to achieve inclusion, equity and equality of opportunity.This book offers informed and practical strategies for raising awareness of bias in teaching, learning and assessment practices and provides approaches to eliminate, limit and mitigate the negative effects of bias on university students.
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Food Information, Communication and Education : Eating Knowledge
Food Information, Communication and Education analyses the role of different media in producing and transforming knowledge about food. ‘Eating knowledge’, or knowledge about food and food practice, is a central theme of cooking classes, the daily press, school textbooks, social media, popular magazines and other media.In addition, a wide variety of actors have taken on the responsibility of informing and educating the public about food, including food producers, advertising agencies, celebrity chefs, teachers, food bloggers and government institutions. Featuring a range of European case studies, this interdisciplinary collection advances our understanding of the processes of mediatization, circulation and reception of knowledge relating to food within specific social environments.Topics covered include: popularized knowledge about food carried over from past to present; the construction of trustworthy knowledge in today’s food risk society; critical assessment of nutrition education initiatives for children; and political and ideological implications of food information policy and practice.
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Unreliable : Bias, Fraud, and the Reproducibility Crisis in Biomedical Research
Reproducibility is fundamental to the scientific method.After reading a paper describing research findings, a scientist should be able to repeat the experiment and obtain the same results.Yet an alarming number—perhaps as high as 90 percent—of published biomedical research papers face challenges in independent replication.Such issues range from honest mistakes to outright fraud.The scope of this crisis, however, underscores deeper systemic issues within the scientific community: its culture, incentives, and institutions. In Unreliable, the distinguished scientist Csaba Szabo examines the causes and consequences of the reproducibility crisis in biomedical research, showing why the factors that encourage misconduct stem from flaws in real-world science.There are many culprits, including commonplace research methods and dubious statistical techniques.Academic career incentives, hypercompetition for grant funding, and a bias toward publishing positive results have exacerbated the problem.Deliberate data manipulation and fabricated findings churned out by “paper mills” are disturbingly common.Academic institutions and publishers, for their part, have perpetuated a culture of impunity. Szabo explores how these failures have hindered scientific progress and impeded the development of new treatments, and he introduces readers to the “science sleuths” who tirelessly uncover misconduct.He proposes comprehensive reforms, from scientific training to the grant system through the publication process, to address the root causes of the crisis.Written in clear language and leavened with a keen sense of irony, Unreliable is an essential account of the reproducibility crisis that gives readers an inside look at how science is actually done.
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Unreliable : Bias, Fraud, and the Reproducibility Crisis in Biomedical Research
Reproducibility is fundamental to the scientific method.After reading a paper describing research findings, a scientist should be able to repeat the experiment and obtain the same results.Yet an alarming number—perhaps as high as 90 percent—of published biomedical research papers face challenges in independent replication.Such issues range from honest mistakes to outright fraud.The scope of this crisis, however, underscores deeper systemic issues within the scientific community: its culture, incentives, and institutions. In Unreliable, the distinguished scientist Csaba Szabo examines the causes and consequences of the reproducibility crisis in biomedical research, showing why the factors that encourage misconduct stem from flaws in real-world science.There are many culprits, including commonplace research methods and dubious statistical techniques.Academic career incentives, hypercompetition for grant funding, and a bias toward publishing positive results have exacerbated the problem.Deliberate data manipulation and fabricated findings churned out by “paper mills” are disturbingly common.Academic institutions and publishers, for their part, have perpetuated a culture of impunity. Szabo explores how these failures have hindered scientific progress and impeded the development of new treatments, and he introduces readers to the “science sleuths” who tirelessly uncover misconduct.He proposes comprehensive reforms, from scientific training to the grant system through the publication process, to address the root causes of the crisis.Written in clear language and leavened with a keen sense of irony, Unreliable is an essential account of the reproducibility crisis that gives readers an inside look at how science is actually done.
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Who is your Blackpink bias and bias wrecker and why?
My Blackpink bias is Lisa because of her incredible stage presence, powerful dancing, and unique fashion sense. She always brings a high level of energy and charisma to their performances. My bias wrecker is Jisoo because of her stunning visuals, sweet personality, and strong vocal abilities. She has a way of capturing my attention with her charm and talent.
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What is your Itzy bias and who is your bias-wrecker?
My Itzy bias is Lia, because I love her powerful vocals and stage presence. My bias-wrecker is Yuna, because she has a captivating and charismatic aura that always catches my attention. Both of them are incredibly talented and bring something unique to the group, making it hard to choose just one favorite member!
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Who is your bias?
As an AI language model, I do not have personal preferences or biases. My purpose is to provide information and assistance to the best of my abilities without any personal inclinations.
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'Exclusion due to bias?'
Exclusion due to bias refers to the act of leaving out or discriminating against individuals or groups based on preconceived notions, stereotypes, or prejudices. This can occur in various aspects of life, such as employment, education, housing, or social interactions. Exclusion due to bias can have detrimental effects on the individuals or groups being targeted, leading to feelings of marginalization, inequality, and injustice. It is important to address and challenge bias in order to create a more inclusive and equitable society.
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Heteronormative Bias
Sexuality and Gender Now uses a psychoanalytic approach to arrive at a more informed view of the experience and relationships of those whose sexuality and gender may not align with the heterosexual "norm".This book confronts the heteronormative bias dominant in psychoanalysis, using a combination of theoretical and clinical material, offering an important training tool as well as being relevant for practicing clinicians.The contributors address the shift clinicians must make not only to support their patients in a more informed and non-prejudicial way, but also to recognise their own need for support in developing their clinical thinking.They challenge assumptions, deconstruct theoretical ideas, extend psychoanalytic concepts, and, importantly, show how clinicians can attend to their pre-conscious assumptions.They also explore the issue of erotic transference and countertransference, which, if unaddressed, can limit the possibilities for supporting patients more fully to explore their sexuality and gender.Theories of psychosexuality have tended to become split off from the main field of psychoanalytic thought and practice or read from an assumed moral high ground of heteronormativity.The book specifically addresses this bias and introduces new ways of using psychoanalytic ideas.The contributors advocate a wider and more flexible attitude to sexuality in general, which can illuminate an understanding of all sexualities, including heterosexuality. Sexuality and Gender Now will be essential reading for professionals and students of psychoanalysis who want to broaden their understanding of sexuality and gender in their clinical practice beyond heteronormative assumptions.
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Anti-Bias Education for Young Children and Ourselves, Second Edition
Becoming a skilled anti-bias teacher is a journey. With this volume’s practical guidance, you’ll grow in your ability to identify, confront, and eliminate barriers of prejudice, misinformation, and bias about specific aspects of personal and social identity.Most important, you’ll find tips for helping staff and children learn to respect each other, themselves, and all people.Over the last three decades, educators across the nation and around the world have gained a wealth of knowledge and experience in anti-bias work.The result is a richer and more nuanced articulation of what is important in anti-bias education.Revolving around four core goals—identity, diversity, justice, and activism—individual chapters focus on culture and language, racial identity, family structures, gender identity, economic class, different abilities, and more.
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The Information Manifold : Why Computers Can't Solve Algorithmic Bias and Fake News
An argument that information exists at different levels of analysis-syntactic, semantic, and pragmatic-and an exploration of the implications. Although this is the Information Age, there is no universal agreement about what information really is.Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches.In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based.Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions.Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one.The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches.The network-based approach, meanwhile, provides a framework to understand information use among agents. Badia then explores the consequences of understanding information as existing at several levels.Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level.This sheds light on some recent issues, including "fake news" (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and "algorithmic bias" (a pragmatic, not syntactic concern).Humans, not computers, the book argues, have the ability to solve these issues.
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RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
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What is BTS's bias?
BTS's bias refers to the member of the group that a fan favors or supports the most. Each fan may have a different bias based on their personal preferences and connections with the members. The bias can change over time as fans get to know the members better and as the group releases new music and content. Overall, BTS's bias is a personal choice and can vary among their diverse fanbase.
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What does bias mean?
Bias refers to a prejudice or inclination towards a particular perspective, idea, or group, which may result in unfair treatment or judgment. It can manifest in various forms, such as personal biases based on individual experiences or societal biases rooted in cultural norms and stereotypes. Bias can impact decision-making, behavior, and attitudes, and it is important to recognize and address biases in order to promote fairness and equality.
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Who is your bias and who is your bias-wrecker in WayV?
My bias in WayV is Ten because of his incredible dancing skills and stage presence. My bias-wrecker in WayV is Xiaojun because of his powerful vocals and charming personality. Both of them never fail to impress me with their talents and charisma.
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Who is your bias and who is your bias-wrecker in ITZY?
My bias in ITZY is Yuna. I admire her talent, charisma, and stage presence. My bias-wrecker in ITZY is Ryujin. Her powerful dance skills and unique charm always catch my attention.
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