Week 15 Sociology in Action Workshop: Births, Deaths, Moves, and the Signs of Change

Part 1 — The Big Picture

This week you learned that a population changes in three ways, through births, deaths, and moves, and that demographers compare places by rates per 1,000 people rather than by counts. You also learned that the world's total fertility rate fell from 4.9 children per woman in the 1950s to 2.3 in 2023, in Our World in Data's presentation of the United Nations World Population Prospects, and that a falling rate can still come with more births. In this workshop you turn made-up counts for three towns into birth, death, and moving rates, discover for yourself that the town with the most births can have the lowest birth rate, and watch births rise in one country while its rate falls. Then you run one town's story through the three perspectives, observe one sign of social change or one group organizing in your own week, and ask a chatbot the same questions so you can catch where it goes wrong.

Time budget: Plan for about 90 minutes.

Part 2 — The Task

Guiding question: In three towns' counts for one year, how can the town with the most births have the lowest birth rate and still shrink, and what does one sign of change in your own week show about how a society changes?

Workshop data: an illustrative region's three towns in one year, an illustrative country's births twenty years apart, and your own sign-of-change observation (illustrative)

Source: An illustrative dataset constructed for this workshop, not from a real region or country: hypothetical counts of residents, births, deaths, and moves for three towns in one year, hypothetical births to women in their childbearing years in two years, plus one observation you make in your own week.

• Town rows: 3 towns, one per row of the scaffold's first table, with 5 counts each: residents, births, deaths, people moving in, and people moving out
• Momentum rows: 2 years, one per row of the scaffold's third table: women in their childbearing years and their births per 1,000 women
• Observation rows: 4 rows you fill in from one sign of change in your own week

Part 3 — Materials & Procedure

Tools and materials

• Free public data tables (Census Bureau, Bureau of Labor Statistics, Pew Research Center, World Bank, Our World in Data, General Social Survey) plus a spreadsheet (Google Sheets or any free spreadsheet)
• A document or notebook for your written answers

Ways of working

• apply-a-perspective-to-a-case
• read-and-interpret-social-data
• structured-observation-and-reflection

Procedure

1. Open a blank sheet. In row 1 type the headers Town, Residents, Births, Deaths, Moved in, and Moved out in columns A to F. In rows 2 to 4 copy the three rows of the first table in Part 4. Tool: Free public data tables (Census Bureau, Bureau of Labor Statistics, Pew Research Center, World Bank, Our World in Data, General Social Survey) plus a spreadsheet (Google Sheets or any free spreadsheet). Check: Rows 2 to 4 hold Town East, Town Central, and Town West with five counts each.
2. In G2 type =C2/B2*1000 for the crude birth rate and in H2 type =D2/B2*1000 for the crude death rate, then copy both down to row 4. In I2 type =G2-H2 for natural increase and copy it down. Copy all nine values into the second table in Part 4. Tool: Free public data tables (Census Bureau, Bureau of Labor Statistics, Pew Research Center, World Bank, Our World in Data, General Social Survey) plus a spreadsheet (Google Sheets or any free spreadsheet). Check: Each town has a birth rate, a death rate, and a natural increase, all per 1,000 people, and the town with the most births does not have the highest birth rate.
3. In J2 type =(E2-F2)/B2*1000 for net migration per 1,000 people and copy it down to row 4. In K2 type =I2+J2 for the total change per 1,000 people and copy it down. Record both columns in the second table, labelled per 1,000 people. Tool: Free public data tables (Census Bureau, Bureau of Labor Statistics, Pew Research Center, World Bank, Our World in Data, General Social Survey) plus a spreadsheet (Google Sheets or any free spreadsheet). Check: One town's net migration is negative, and its total change is negative even though its natural increase is positive.
4. For the third table in Part 4, multiply each year's women by its births per 1,000 women and divide by 1,000 to get the number of births, by hand or with a formula such as =B2*C2/1000. Then subtract to find how much the rate changed and how much the births changed. Check: The rate is lower in the later year, but the number of births is higher.
5. Pick one sign of social change or one group organizing that you can see in your own week, such as a flyer for a tenants' meeting, a petition table, a new building going up, a trend spreading through a group chat, or a closed store. Spend about 15 minutes observing it, then fill in the observation frame in Part 4: what you observed, which concept it shows, and why it matters. Describe the sign or the group's public activity, never any real person. Check: Every row of the observation frame names something you saw or read, not a guess about a person.
6. Answer the analysis questions in Part 5, then do the AI-critique step in Part 6, or the equivalent route printed there, and write the 3–5 sentence report. Check: Every answer points to a value in your tables, a row of your observation, or a definition from this week, and your report quotes at least two errors with corrections.

Fallback route

When to use it: Use this route if no spreadsheet is available.

Work the same steps by hand or with a calculator. Divide each town's births and deaths by its residents and multiply by 1,000 for the two rates, subtract the death rate from the birth rate for natural increase, subtract moves out from moves in and divide by residents, then multiply by 1,000 for net migration, and add natural increase and net migration for the total change. Multiply each year's women by its rate and divide by 1,000 for the births. Write every step in your document so it can be checked, complete every scaffold table, answer every analysis question, do the critique step, and submit the same items for equal credit.

This route earns the same credit as the primary route.

Part 4 — The Scaffold

These are the workshop's illustrative town counts for one year; copy them into your sheet so every rate comes from your own formulas.

Student scaffold table 1

Town	Residents	Births	Deaths	Moved in	Moved out	Your note on this row
Town East	20,000	300	160	500	200
Town Central	80,000	880	720	1,000	1,800
Town West	50,000	700	400	300	300

Record each town's rates here so your interpretation rests on numbers you produced yourself, all per 1,000 people.

Student scaffold table 2

Town	Birth rate	Death rate	Natural increase	Net migration	Total change
Town East
Town Central
Town West

These illustrative counts follow one country's women in their childbearing years across two years; fill in the births to see a rate and a count move apart.

Student scaffold table 3

Year	Women in their childbearing years	Births per 1,000 women	Number of births
First year	200,000	95
Twenty years later	260,000	75

Use this observation frame to move from what you saw, to the concept it shows, to why it matters.

Student scaffold table 4

What I observed	Which concept it shows	So what
What the sign or the group's public activity looked like, in plain words
Collective behavior or a social movement, and why
If a movement, its type in Aberle's model; if not, the engine of change it reflects
One way this change could reshape daily life in that place

Part 5 — Analysis Questions

1. Report each town's birth rate, death rate, natural increase, net migration, and total change per 1,000 people, and the number of births in each year of the third table with the change in the rate and in births, showing the formula or the arithmetic behind each.
2. Read the town table four ways: what is measured, over whom, what it shows and does not, and whether the pattern is a correlation, a cause, or neither. Then explain in two sentences how the town with the most births can have the lowest birth rate, and how a town with positive natural increase can still shrink.
3. Explain the third table with population momentum. Then run Town Central's year through structural functionalism, conflict theory, and symbolic interactionism, one sentence each, naming each one's level of analysis, with no verdict.
4. From your observation frame, describe the sign of change or the group you observed, say whether it is collective behavior or a social movement and why, and name its type in Aberle's model or the engine of change it reflects. Which of the three perspectives does your observation use, and at what level of analysis does it work?
5. Name two limits, such as that the data are illustrative and cover one year, that a rate per 1,000 people hides who lives in each town, that two years cannot show a trend's shape between them, or that one observation is a single case, and say how each limit affects what you can conclude.
6. Choose one and answer it in 3–4 sentences: (a) a neighbor says Town Central must be dying because people are leaving; what would you tell them, and what evidence would change your answer? (b) think of a change in a place you know well; without naming anyone, which engine of change best explains it, and at what level does your explanation work?

Part 6 — AI-Critique Moment

Choose one equal-credit critique route. Route A: ask an approved AI tool to critique your completed work, then check its response against your own evidence. Route B is the no-AI equivalent printed below.

Approved tools: Claude, Gemini, ChatGPT, Grok, Microsoft Copilot.

Prompt to paste:

I've pasted my completed workshop tables above. An illustrative region has three towns. In one year, Town East had 20,000 residents, 300 births, 160 deaths, 500 people moving in, and 200 moving out. Town Central had 80,000 residents, 880 births, 720 deaths, 1,000 moving in, and 1,800 moving out. Town West had 50,000 residents, 700 births, 400 deaths, 300 moving in, and 300 moving out. Please do five things. First, tell me what the world's total fertility rate was in 2023 and in the 1950s, and how many people live in the world today. Second, tell me who wrote in 1798 that population tends to outrun food, and who described the four stages of the demographic transition. Third, describe what kind of people tend to move out of a town like Town Central. Fourth, explain whether the people moving out of Town Central caused its low birth rate. Fifth, Town East has the highest birth rate of the three towns; does that mean a young couple who recently moved to Town East will probably have a baby soon?

Test the response for these likely failures:

• Chatbots often give a world fertility figure from memory with the wrong year or source, and add a precise world population count with no source at all.
• Chatbots often credit Malthus with the demographic transition, as if his 1798 essay described its four stages.
• Chatbots often describe the people who leave a town from a stereotype, naming an age group, a kind of job, or a type of family as the movers.
• Chatbots often say the people moving out caused Town Central's low birth rate, or that its low birth rate caused people to leave.
• Chatbots often read Town East's birth rate as a fact about one couple, saying a couple who moved there will probably have a baby soon.

Write 3–5 sentences that name what the chatbot got right and quote at least two of its errors, correcting each with evidence from your tables or this week's definitions.

Equivalent route (no AI required)

No AI account is required for this workshop. This route assesses the same objectives, Objective 8 (analyze social change — demography and the demographic transition, urbanization, collective behavior, and social movements and their theories — and the forces that drive it, reading population data for what a rate measures) and Objective 2 (describe and evaluate the major sociological research methods (surveys, experiments, field research and ethnography, secondary-data analysis), distinguish reliability from validity and a population from a sample, and read a social statistic critically — what it measures, over what population and period, what it shows and does not, and whether it is a correlation or a cause), takes comparable effort of about the same 90 minutes, uses the same rubric, and earns the same credit. Instead of the chatbot, critique this flawed analysis, printed here in full: "Town Central had the most births, 880, so it is growing the fastest of the three towns. The world now has exactly 8.2 billion people, and its fertility rate fell to 2.3 in 2023 because families stopped wanting children. Malthus described the four stages of the demographic transition in 1798. The people who leave towns like Town Central are mostly young people who do not want to settle down, and their leaving caused the town's low birth rate. Since Town East has the highest birth rate, the couple who recently moved there will probably have a baby soon." Mark every error you can find, quote at least two, and correct each one in 3–5 sentences with evidence from your tables or this week's definitions. Submit the marked-up analysis and your correction in place of the chatbot report and share link.

Part 7 — What to Submit

• All four completed scaffold tables, including your observation frame
• Written answers to all six analysis questions
• The chatbot critique report with its share link, or the equivalent route's marked-up flawed analysis

Deliverable:

A short Sociology in Action Workshop report on three towns' births, deaths, and moves, one country's births in two years, and one sign-of-change observation: four completed tables, written answers to six analysis questions, and a critique of a chatbot's answers to the same questions, or, on the equivalent route, a marked-up correction of the printed flawed analysis. Submit in any accessible file type or as a link; a recorded response may be submitted as audio or video with a transcript, or as text. Choose how you show it: written answers, a recorded explanation with a transcript, or a labelled diagram of the rates and your observation with short notes; every form is graded by the same scoring criteria.

Rubric

The rubric below shows how each submitted part is evaluated; bands are full, partial, or none.

Workshop evaluation criteria

Criterion	Full	Partial	None
Computing the rates, changes, and births	Every town's birth rate, death rate, natural increase, net migration, and total change, and both years' births with the change in rate and in births, are computed from the workshop's counts with the formulas or arithmetic shown, each labelled with its base.	Most values are computed, but one rate or change is missing or wrong, a step is not shown, or a rate is given without its base.	No values are reported, or the values are invented rather than computed.
Reading the data: rates, counts, and momentum	The answer reads the town table four ways, explains how the most births can come with the lowest birth rate and how positive natural increase can come with a shrinking town, explains the third table with population momentum, calls the pattern a description rather than a cause, and refuses to apply a town's rate to one person.	The answer reads the data but either treats the pattern as a cause, compares towns by counts, applies a rate to one person, or leaves out momentum.	No answer is given, or the town with the most births is read as the fastest-growing.
Three perspectives and the observation	Town Central's year is read through all three perspectives with each level named and no verdict, and the observation sorts a real sign of change or group as collective behavior or a social movement with a reason and names its Aberle type or engine of change, describing public activity rather than any person.	One perspective or level is missing, one lens is stated unfairly, or the observation is sorted without a reason or tied to no concept.	No interpretation or observation is given, or the observation judges a person rather than describing public activity.
Critique and correction	The chatbot critique report or the marked-up flawed analysis quotes at least two errors and corrects each with evidence from the tables or this week's definitions; both routes earn this band equally.	The chatbot critique report or the marked-up flawed analysis names an error but corrects it without evidence, or corrects only one; both routes earn this band equally.	No chatbot critique report or marked-up flawed analysis is submitted, or the output is pasted without any check; both routes are scored the same way.
Limits and reflection	Two real limits are named with their effect on the conclusion, and the chosen reflection option is answered with a reason.	One limit is named, or a limit is named without its effect, or the reflection gives no reason.	No limit or reflection is given.

Quality Gate

• Every rate, change, and count in your tables comes from your own formulas or your own hand calculation from the workshop's counts, never from memory or a chatbot.
• Every rate names its base, per 1,000 people or per 1,000 women, and every comparison between towns uses rates, not counts.
• Your table answer calls the pattern a description, not a cause.
• Your answers never apply a town's rate to one person, couple, or family.
• Your perspective answers state each lens at full strength, name each level, and declare no winner.
• Your observation describes a public sign or a group's public activity, not any real person, and names no one.
• No statistic, study, or source is invented anywhere in the submission.
• The critique quotes the chatbot or the flawed analysis and corrects at least two errors with evidence.