Discrimination Study Guide

📖 Core Concepts Discrimination – Unjustified treatment of people based on perceived group membership (race, gender, age, etc.), often stripping legal/human rights. Moralized view – Treats discrimination as intrinsically wrong, regardless of outcomes. Non‑moralized view – Describes any differential treatment; may be neutral or justified. Oppression – When discrimination marks a group as “different” and leads to inhumane treatment. Reverse discrimination – Favoring historically disadvantaged groups in a way that harms majority‑group members (often linked to affirmative‑action quotas). 📌 Must Remember Key protected groups: race, gender, age, class, religion, disability, sexual orientation, nationality, language, name. Major U.S. statutes: Civil Rights Act 1964 (employment), Fair Housing Act 1968, Equal Pay Act 1963, Pregnancy Discrimination Act 1978. U.K. core acts: Equality Act 2010 (consolidates prior anti‑discrimination laws). India: Article 15 (no discrimination on caste, religion, sex, race, birthplace); Article 14 (equality before law). International: UDHR (1948) – equality of rights; ICCR (1965) – eliminate racial discrimination; CEDAW (1979) – women’s rights; CRPD (2006) – rights of persons with disabilities. Types of discrimination: ageism, casteism, citizenship/nationality bias, classism, ableism, linguistic bias, name bias, ethnic “penalty”, regional bias, religious bias, sexism/gender‑identity bias, sexual‑orientation bias. 🔄 Key Processes Discriminatory labeling → Stereotype formation → Social stigma → Reduced access to resources. Stress‑and‑Coping pathway: Experience discrimination → Chronic stress response → Poor mental/physical health → Unhealthy behaviors. Policy response cycle: Identify bias → Enact legislation/quota → Monitor outcomes → Adjust measures (e.g., affirmative‑action reviews). 🔍 Key Comparisons Moralized vs. Non‑moralized discrimination Moralized: intrinsically unethical; focuses on intent. Non‑moralized: neutral description; outcome‑oriented. Direct vs. Reverse discrimination Direct: dominant group harms minority. Reverse: minority‑favoring policies perceived to harm dominant group. Legal vs. Social discrimination Legal: prohibited by statutes (e.g., Title VII). Social: informal bias (e.g., name discrimination) that may evade law. ⚠️ Common Misunderstandings “Discrimination only harms the target” – It also perpetuates systemic inequality and harms societal cohesion. “Quotas equal reverse discrimination” – Quotas aim to correct historic imbalance; they are not automatically unlawful. “All unequal treatment is discrimination” – Not every difference is wrongful; some are merit‑based or neutral. 🧠 Mental Models / Intuition “Scale of privilege”: Visualize society as a ladder; each protected characteristic adds or removes steps. “Two‑track pipeline”: Discrimination operates at institutional (laws, policies) and interpersonal (bias, micro‑aggressions) levels simultaneously. 🚩 Exceptions & Edge Cases Citizenship discrimination can coexist with, but is distinct from, racial bias (e.g., GCC preferential treatment of citizens). Algorithmic bias – Even neutral‑looking algorithms can reproduce historic discrimination if trained on biased data. Religious exemptions – Certain U.S. cases allow limited discrimination for sincerely held religious beliefs (e.g., “ministerial exception”). 📍 When to Use Which Assessing a claim: Identify protected class → apply relevant statute (e.g., Title VII for race/gender). Determine if action is direct (intentional) or disparate impact (neutral policy with adverse effect). Choosing remedial tool: Quotas → when under‑representation is severe and measurable. Affirmative‑action training → when bias is subtle or unconscious. Analyzing health impact: Use stress‑and‑coping framework for chronic discrimination; use epidemiological surveys for population‑level patterns. 👀 Patterns to Recognize “Ethnic penalty” – Consistent lower wages/education outcomes for minority groups across contexts. “Label‑and‑stereotype loop” – Naming → stereotype → self‑fulfilling outcomes. “Quota backlash” – Introduction of quotas often triggers political/legal challenges labeled as “reverse discrimination.” 🗂️ Exam Traps Confusing “discrimination” with “inequality” – Inequality can arise without wrongful treatment; discrimination requires unjustified group‑based distinction. Assuming all quota systems are illegal – Many jurisdictions legally sanction quotas to remediate past harms. Mixing “bias” with “discrimination” – Bias is a psychological tendency; discrimination is the actionable behavior/policy. Over‑generalizing health findings – Not every health disparity is solely due to discrimination; socioeconomic factors also play roles. --- If any heading lacks sufficient detail from the source outline, the placeholder “- Not enough information in source outline.” would be inserted, but all sections above are supported by the provided material.