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Week 9 · Lecture outline

Week 9 — Lecture Outline · Global Inequality

Introduction to Sociology · SOC 1 Fall 2026 · Prof. Adeyemi Fictional sample

Course: Introduction to Sociology (SOC 1) · Silver Oak University (fictional sample) · Prof. Adeyemi
Objectives covered: Objective 5 — Analyze stratification, class, and global inequality, and weigh competing explanations of why some nations are rich and others poor.
SLOs touched: A (apply theory to interpret social phenomena) · B (reason from evidence — read cross-national data; correlation vs. causation)
Meeting pattern: 2 sessions × 75 min = 150 min. Segment minutes below total ~150; scale to your own pattern.

Week at a Glance
The week's big question "Why are some nations rich and others poor — and how would modernization theory and dependency/world-systems theory each answer, using the same global data?"
By the end of the week, students can… (1) define global stratification and the World Bank income groups, and explain how development is measured (GNI/GDP per capita, life expectancy, schooling — the HDI components); (2) explain modernization theory (Rostow's stages) and its critique; (3) explain dependency theory and world-systems theory (Wallerstein's core / semi-periphery / periphery); (4) read a cross-national indicator and tell correlation from causation.
Key vocabulary global stratification, global inequality, World Bank income groups (low-/lower-middle-/upper-middle-/high-income), GNI & GDP per capita, purchasing power, life expectancy, mean/expected years of schooling, the Human Development Index (HDI), extreme poverty & the International Poverty Line, modernization theory, Rostow's stages of growth, ethnocentrism (as a critique), dependency theory, colonialism / neocolonialism, world-systems theory, core / semi-periphery / periphery, globalization, multinational corporations, correlation vs. causation
Materials slides (Deck 9), the week's readings + video links, one approved chatbot (Gemini / Claude / ChatGPT) for the AI-critique moment and the tutorial
Timing note 8 segments, ~150 min total. Session 1 = Segments 1–4 (~75). Session 2 = Segments 5–8 (~75).

Segment 1 — Hook & the Promise (8 min) · Session 1 opens

Hook. Put one line on a slide: "Two babies are born on the same day — one in Norway, one in a low-income country in central Africa. Before either has made a single choice, their expected lifespans differ by roughly 25–30 years." Let it land. Then: "Nothing about the babies explains that gap. Something about the world does. This week we ask why — and we ask it like sociologists: not one decreed answer, but competing explanations weighed against the data."

Connect to Week 7. "Two weeks ago we asked why some people in a society are rich and others poor — stratification within a nation. Today we zoom all the way out: stratification between nations. Same instinct — don't blame the baby; look at the structure — at a global scale."

The promise (write it on the board): "By Friday you'll know how we measure 'development' (and why one number lies), you'll be able to argue the modernization vs. dependency debate fairly from either side, and you'll read a real cross-national chart without mistaking a correlation for a cause."

Why it matters line (memory hook): "Where you're born is the single biggest lottery of your life — and that's a sociological fact, not a personal one."

Segment 2 — Global Stratification & How We Measure Development (20 min)

Plain language first.
- Global stratification = the unequal distribution of resources, power, and opportunity between the world's societies (not just between people within one). It is the Week-7 ladder, applied to whole countries.
- A note on language: older textbooks said "First/Second/Third World" or "developed/undeveloped." The discipline now mostly uses the World Bank's income groups — low-income, lower-middle-income, upper-middle-income, and high-income nations — because they are defined by a transparent measure rather than a value judgment. (The Bank classifies countries by gross national income (GNI) per capita, Atlas method, updated each July 1.)

How do we measure "development"? (the read-the-data setup — name several measures, not one):
- GNI or GDP per capita — average income/output per person. Useful, but it's an average (hides inequality) and a flow (not wealth), and a high oil-export average can mask deep poverty.
- Life expectancy — a blunt but powerful summary of health, nutrition, and public health.
- Schooling — mean and expected years of schooling.
- Put together, income + health + schooling are exactly the three building blocks of the Human Development Index (HDI) — a deliberate move away from "GDP is development" toward a broader picture.

Memory hook (put it on a slide):

"GDP per capita is one window, not the whole house. Development is income and health and schooling — and even then it's an average that hides who's inside."

Segment 3 — The Three Explanations, Part 1: Modernization Theory (18 min)

Plain language first. Modernization theory answers "why are some nations poor?" by looking mostly inward: poor nations lack the industrial technology, productive institutions, and cultural orientations that produced wealth in the rich world — and they can catch up by adopting them.

Rostow's stages of growth (factual — W. W. Rostow): modernization theory's best-known version describes countries moving through evolutionary stages of economic growth — from a traditional, agriculture-based society, through a "take-off" into industrialization, toward a mature, high-consumption modern economy. The engine of forward movement is industrialization and improved technology (plus the values and institutions that support them).

The standard critique (teach it in the same breath — evenhandedness): modernization theory is widely criticized as ethnocentric — it tends to treat the rich-world path as the path every country should follow, assumes all countries start with the same resources and options, and can locate the "problem" in poor nations' own cultures while ignoring history. (We present the theory and its critique; that's the fair treatment the discipline expects.)

Memory hook: "Modernization: the cause is mostly internal — industrialize, modernize, catch up. The critique: 'catch up to whom, and on whose terms?'"

Segment 4 — The Three Explanations, Part 2: Dependency & World-Systems (17 min) · Session 1 closes (~75)

Plain language first — dependency theory. Dependency theory flips the question from inside a poor nation to the relationship between nations: poor nations are not simply "behind"; they have been kept poor by their dependent, exploited position in a global economy — a legacy of colonialism (and its continuation, sometimes called neocolonialism) in which wealthy nations extract resources and cheap labor. The poverty of some, on this view, is tied to the wealth of others.

World-systems theory (factual — Immanuel Wallerstein). Wallerstein's world-systems theory is the most influential structural version. It pictures one single capitalist world economy divided into three positions:
- Core nations — wealthy, do the high-profit, high-tech, high-wage work; concentrate capital and power.
- Periphery nations — poor, supply raw materials and cheap labor; low profit, low wages.
- Semi-periphery — in between; both exploited by the core and exploiting the periphery (a buffer, and the place where some upward movement happens).
(Picture: a global division of labor in which a nation's position — not just its internal effort — shapes its fortunes.)

Where these sit among our three perspectives: modernization leans functionalist (development as a natural, beneficial evolution that the whole system moves through); dependency and world-systems lean conflict (the global system distributes advantage unequally and structurally — ask who benefits). This is the macro, three-perspective move at a global scale.

Memory hook: "Dependency & world-systems: the cause is the relationship — core, semi-periphery, periphery. Wallerstein → world-systems → the three zones. (Don't credit the zones to 'dependency theory' on the quiz.)"

Segment 5 — One Phenomenon, Three Lenses: A Garment Factory (16 min) · Session 2 opens

Hook back in: "Last session: three explanations of the global gap. Now watch all three run through one concrete phenomenon — a clothing factory in a low-income country producing for a brand headquartered in a high-income one."

One fully worked example (run all three perspectives out loud) — a global garment supply chain:

  • Modernization read (functionalist-leaning): the factory is a rung on the ladder — it brings industrial jobs, wages, skills, and technology into a previously agrarian economy; this is exactly the "take-off" modernization predicts, and over time it can lift the country toward the next stage.
  • Dependency / world-systems read (conflict-leaning): the arrangement also locks in a global division of labor — the periphery supplies cheap labor and raw inputs while the bulk of the profit, brand value, and high-wage design/marketing jobs stay in the core; the relationship can keep the poorer nation dependent.
  • Symbolic-interactionist read (micro): zoom in to the meanings — what "a good job," "cheap," "made in ___," or "ethical fashion" mean to a worker, a manager, and a consumer, and how those meanings are negotiated in everyday life and marketing.

Land it: "The same factory is a ladder rung, a dependency trap, and a web of meanings — all at once. The functionalist sees development; the conflict theorist sees the structure of advantage; the interactionist sees the meaning. A complete answer uses more than one lens."

Misconception + cure:
- ❌ "One theory is simply right and the other is propaganda."
✅ Cure: there is real evidence on each side — industrialization has lifted hundreds of millions out of poverty (a modernization point), and colonial history and global supply chains demonstrably shape national fortunes (a dependency/world-systems point). Weigh them; don't flatten them.

Segment 6 — Read the Data: Wealth ↔ Life Expectancy (the data beat) (16 min)

Set it up: "This is the move you'll do in this week's Workshop. We'll read one real cross-national pattern carefully."

A short read-the-data walkthrough (a real, well-documented pattern, described in words):

On Our World in Data's "Life expectancy vs. GDP per capita" chart, each dot is a country: GDP per capita on one axis, life expectancy on the other. The pattern is one of the most reliable in all of social science: richer countries tend to have higher life expectancy — a strong positive correlation. Walk the four questions:
1. What is measured? Period life expectancy at birth (a rate-like summary, not a guarantee for any individual) and GDP per capita (an average income, adjusted for price differences).
2. Over what population and period? Countries (each a dot), for a given recent year — check the year on the chart.
3. What does it show — and what does it NOT? It shows a strong association across countries. It does not, by itself, show that handing a country more GDP causes longer lives.
4. Correlation or causation? This is a correlation. Plausible reasons it is not simple causation: reverse direction (healthier populations can be more productive, raising income), and third variables — clean water, sanitation, vaccination, and schooling raise life expectancy and support income. Also note the curve flattens: beyond a certain income, more GDP buys little extra life expectancy — so "just grow GDP" is not the whole health story.

Name the misconception + cure (the correlation-vs-causation beat):
- ❌ "Richer countries live longer, so making a country richer will, by itself, make people live longer."
✅ Cure: a cross-national correlation is a clue, not a verdict — watch for reverse causation and third variables (public health, sanitation, education), and notice diminishing returns. (Half of SLO B is refusing to make this jump.)

Segment 7 — Globalization, Multinationals & a Live-Data Caution (15 min)

Plain language first. Globalization — the growing interconnection of economies, cultures, and politics across borders — is the stage on which all three theories play out. Multinational corporations (firms operating across many countries) are central: modernization tends to see them as carriers of capital, jobs, and technology into poorer nations; dependency/world-systems tends to see them as the mechanism by which core nations extract value from the periphery. Same actor, two readings — present both.

A live-data caution (the discipline's load-bearing habit, made concrete):

Global poverty statistics change as the measuring stick changes. In June 2025 the World Bank raised its International Poverty Line from $2.15 to $3.00 a day (2021 prices), which raised the counted number of people in extreme poverty in 2024 to about 817 million — not because the world got poorer, but because the line moved. (Verified live at Our World in Data for the Workshop.) The lesson: a statistic is only as good as the definition behind it — always ask which line, which year, which source. A chatbot quoting "$2.15 a day" is using a superseded figure.

Misconception + cure:
- ❌ "GDP per capita is the measure of how developed a country is."
✅ Cure: it's one measure, and an average at that. Development also means health and schooling (the HDI idea), and an average can hide enormous internal inequality.

Segment 8 — Technology Workflow + AI-Critique, Callback & Hand-off (15 min) · Session 2 closes (~75)

Technology workflow — the two-column debate, on demand:
1. Pick a development question (e.g., "is the rise of factories in a low-income country good for it?").
2. Draw two columns: Modernization | Dependency/World-Systems.
3. Force at least one solid point into each column before you decide. Notice which side you defaulted to — that's your bias; filling both corrects it.

AI-critique moment (students verify, not consume) — this previews the weekly Workshop:

Paste this to an approved chatbot: "Explain modernization, dependency, and world-systems theories of global inequality, say who developed world-systems theory, and give me the current share of the world living in extreme poverty."
Then check its work against today's lecture and a real source:
- Did it misattribute a theory — e.g., credit core/semi-periphery/periphery to "dependency theory" instead of Wallerstein's world-systems theory, or muddle modernization with dependency?
- Did it give a stale or fabricated statistic — e.g., the old "$2.15 a day" line, or an extreme-poverty share it can't source? Chatbots routinely cite superseded figures with total confidence. Verify any global number at the World Bank or Our World in Data, and confirm the poverty line and year.
- Did it slide from correlation to causation — "richer countries live longer, so growth causes longevity"?
Your job all semester: the tool drafts, you judge.

Callback + tease:
- Callback: "We zoomed out from class-within-a-nation (Week 7) to inequality-between-nations — same sociological instinct, global scale: weigh competing structural explanations against the evidence."
- Tease next week: "Next week we zoom back into the United States and one of its most charged inequalities — race and ethnicity: why race is a social construction, the difference between prejudice and discrimination, and individual vs. institutional racism."

Hand-off (the week's graded work):
- Lecture Tutorial 9 (AI tutor, share-link) — global stratification, measuring development, the three theories.
- Quiz 9 and Discussion 9 ("Why Are Some Nations Poor? — modernization vs. dependency").
- Assignment 9 — classify income groups & core/periphery roles, place the theorists, read a cross-national figure, and build a short evidence-based argument.
- Workshop 9 — "Reading the Global Gap": interpret a real World Bank / Our World in Data indicator, then catch an AI's reasoning slips.

Instructor FAQ — Common Stumbles

Student says / does Quick cure
Credits core/semi-periphery/periphery to "dependency theory." Those three zones are Wallerstein's world-systems theory. Dependency theory is the broader conflict-leaning family; world-systems is its most famous structural model.
Treats modernization and dependency as "the right one vs. the wrong one." They're competing explanations with evidence on each side — internal factors (technology, institutions, values) vs. the global relationship (colonial legacy, core/periphery). Weigh them.
Thinks GDP per capita = development. It's one measure — an average and a flow. Development also includes health (life expectancy) and schooling (the HDI components); averages hide internal inequality.
"Richer countries live longer, so growth causes long life." That's a cross-national correlation, not proven causation — watch reverse direction (health → productivity) and third variables (sanitation, vaccines, schooling); returns also diminish at high income.
Quotes "$2.15 a day" as the extreme-poverty line. Superseded. The World Bank raised the line to $3.00 a day in June 2025; always state which line, which year, which source.
Says modernization theory is "just true" with no downside. Name the standard critique: it can be ethnocentric — assuming one (rich-world) path fits all and locating the problem inside poor nations.
Confuses global stratification with within-country class (Week 7). Week 7 = inequality within a society; Week 9 = inequality between societies. Same ladder, different unit.

Scope flag

This outline stays within Objective 5's global-inequality portion — global stratification, measuring development, and the modernization vs. dependency vs. world-systems debate. It builds on Week 7 (within-society stratification and class) and is assessed on the cumulative final (the midterm covered Objective 5 only through its Week-7 stratification portion). The theorists named (Rostow, Wallerstein) are referenced factually as part of the discipline's real intellectual history; the global statistics named (the World Bank income-group method and thresholds; the June-2025 move of the International Poverty Line to $3/day; the ~817 million figure for 2024; the wealth–life-expectancy correlation) are verified live against the World Bank / Our World in Data for this build. The instructor and institution remain fictional.

~ Prof. Adeyemi's edition · Fall 2026 · built with thecoursemaker.com