Week 1 Sociology in Action Workshop: A Trouble, a Pattern, and a Rate

Part 1 — The Big Picture

Losing a job feels like the most personal thing in the world, and for the person it happens to, it is. This week's sociological imagination asks you to hold a second view at the same time: when job losses pile up across a place, the pattern belongs to the place, not to any one person. In this workshop you turn three towns' job-loss counts into rates, see how the ranking changes, run the pattern through the three perspectives, and then catch a chatbot claiming more than the numbers allow.

Time budget: Plan for about 90 minutes.

Part 2 — The Task

Guiding question: Which of three illustrative towns has the highest rate of job loss, does the answer change when you compare rates instead of counts, and what can and can't a town's rate tell you about the people who live there?

Workshop data: Job losses in three illustrative towns

Source: Yearly job-loss counts and residents for three illustrative towns, Ridgeview, Lakeport, and Millbrook, constructed for this workshop and printed in full in Part 4; they are not real data and describe no real place or person.

• Rows: 3 towns, one row each in the data table
• Columns: town, job losses recorded in one year, residents, and a blank column for the rate per 100,000 residents
• Period: one year, the same year for all three towns

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. Type Town, Job losses, Residents, and Rate per 100,000 in cells A1, B1, C1, and D1, then copy the three rows of the data table in Part 4 into rows 2 through 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 through 4 hold three town names, three counts, and three resident totals, matching the data table cell for cell.
2. In cell D2 type =B2/C2*100000, then copy D2 down to D3 and D4. 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 rate is a whole number, and each one divided by 100,000 and multiplied by its town's residents gives back that town's count.
3. Copy the three rates into the data table in Part 4, then fill in the ranking table: rank the towns from highest to lowest by count, and again by rate. Check: The ranking table has six filled cells, and at least one town sits in a different position in the two columns.
4. Complete the perspectives table in Part 4: for the town with the highest rate, write the question each perspective would ask about that pattern, and name each perspective's level, macro or micro. Tool: A document or notebook for your written answers. Check: Each of the three rows holds a question, not an answer, and a level.
5. Answer the five analysis questions in your document, then paste your completed tables into an approved chatbot with the prompt in Part 6 and check its answer against the scripted checks. Tool: A document or notebook for your written answers. Check: You have five written answers and a list of the chatbot's errors with corrections, or the marked-up flawed analysis from the equivalent route.

Fallback route

When to use it: Use this route if no spreadsheet is available or the formula will not run.

Compute each rate by hand from the data table: divide the town's job losses by its residents, then multiply by 100,000. Show each division and multiplication in your document, then complete every scaffold table, analysis question, and 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

The data come first: each town's job losses and residents for one year, with a column for you to fill in each rate per 100,000 residents.

Student scaffold table 1

Town	Job losses in one year	Residents	Rate per 100,000 residents
Ridgeview	90	6,000
Lakeport	240	24,000
Millbrook	150	7,500

Rank the towns twice so you can see whether comparing rates instead of counts changes the order.

Student scaffold table 2

Rank	By count (most job losses first)	By rate (highest rate first)
1st
2nd
3rd

For the town with the highest rate, write the question each lens would ask, so the pattern is read three ways without claiming an answer the data do not give.

Student scaffold table 3

Perspective	The question this lens asks about the pattern	Level of analysis
Structural functionalism
Conflict theory
Symbolic interactionism

Part 5 — Analysis Questions

1. Using your data table, write the division and multiplication that produced each town's rate per 100,000 residents.
2. Which town has the most job losses by count, and which has the highest rate? Name every town whose position changes between the two rankings.
3. Use the sociological imagination: for one resident of the highest-rate town who lost a job, what is the personal trouble, and what is the public pattern that belongs to the town? Then answer the four questions for your rate comparison: what is measured, over what population and period, what it shows and does not show, and whether it is a correlation or a cause.
4. Look back at your perspectives table. Which lens's question would you most want answered first, and what does each of the other two lenses notice that it misses? Keep all three as questions; the data do not answer them.
5. Choose one and answer it in 3–4 sentences. (a) Name two things these three rates cannot tell you, and say what evidence about many people you would need to learn each one. (b) Describe one thing you have observed in your own town, campus, or workplace that might be part of a pattern like this one, name the concept from this week it illustrates, and say what you would need to check before calling it a pattern.

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 Week 1 Sociology in Action Workshop tables above. They describe three illustrative towns constructed for a class activity, not real data, over one year: Ridgeview recorded 90 job losses among 6,000 residents, Lakeport recorded 240 job losses among 24,000 residents, and Millbrook recorded 150 job losses among 7,500 residents. Please do five things. First, rank the three towns by count and then by rate per 100,000 residents. Second, tell me the current unemployment rate in the United States and name a study that explains why towns like these differ. Third, say which sociologist coined the idea of connecting personal troubles to public issues, and which founder conflict theory is rooted in. Fourth, explain why the people of Millbrook lose their jobs more often. Fifth, tell me how likely one particular Millbrook resident is to lose a job next year, and say whether living in a smaller town causes job loss.

Test the response for these likely failures:

• Chatbots often supply a precise national unemployment rate with no source or year, or name a study, sometimes one that does not exist, as if it explained these three towns.
• Chatbots sometimes credit the personal-troubles-and-public-issues idea to Durkheim or Weber, or root conflict theory in Durkheim instead of Marx.
• Chatbots often explain Millbrook's higher rate by the character of its residents, saying they are less motivated or less skilled, with no evidence at all.
• Chatbots often say that living in a smaller town causes job loss because the largest town, Lakeport, has the lowest rate.
• Chatbots often turn Millbrook's rate into a personal probability, telling you what chance one particular resident has of losing a job.

Write 3–5 sentences naming one thing the chatbot got right and at least two places it went wrong or overreached, quoting its words and correcting each with evidence from your own tables or this week's chapter.

Equivalent route (no AI required)

No AI account is required for this workshop. Instead of the chatbot, critique this flawed analysis, printed here in full: "Lakeport has the most job losses, 240, so it is the worst town. The national unemployment rate explains all of this, and a well-known study shows that small towns always lose more jobs. Durkheim came up with the idea of personal troubles and public issues, and conflict theory comes from Durkheim too. Millbrook's residents lose their jobs because they are less motivated than people elsewhere. Because Lakeport is the biggest town and has the lowest rate, being a small town causes job loss. Millbrook's rate means that every resident there has the same higher chance of losing a job next year." Mark it up: quote each flawed sentence, name what is wrong (a count read as a rate, an unsourced statistic or an unnamed study, a misattributed idea or theory, a group's behavior explained by a stereotype, an association read as a cause, or a town's rate applied to one person), cite the evidence from your tables or this week's chapter, and write a corrected sentence beneath it; for the sentence about cause, say what the course will check next week. This route assesses the same objective (Objective 1 — apply the sociological imagination — connecting personal troubles to public issues — and the three major theoretical perspectives (structural functionalism, conflict theory, symbolic interactionism) to interpret a social phenomenon, naming the level of analysis each works at and placing the discipline's founders with the ideas and works they are known for) as the chatbot critique, takes comparable effort (about 30 minutes and 200–300 words), is scored by the same scoring criteria for the same credit, and its own submission artifact is the marked-up flawed analysis, posted in place of the chatbot share link and report.

Part 7 — What to Submit

• All three completed scaffold tables
• Written answers to all five 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 illustrative towns: three completed tables (the counts and rates, the two rankings, and the three perspectives' questions with their levels), written answers to five analysis questions, and a critique of a chatbot's analysis of the same towns, 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 a written, recorded, or visual form for your answers; 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 three rates	All three rates are correct on a stated base of 100,000 residents, each from a formula or hand work with the division and multiplication visible.	The rates are attempted, but one is wrong, the base is missing, or the operations are not shown.	No rates are recorded, or the numbers are invented rather than computed.
Reading the data as a sociologist	Both rankings are complete, every town that changes position is named, and the four questions are answered in order for the rate comparison.	The rankings or the four questions are attempted, but a town that moves is missed, or one of the four questions is skipped or answered with a cause claim.	No ranking or reading of the data appears.
Imagination and perspectives	The resident's personal trouble is told apart from the town's public pattern, and the three perspectives each pose a fitting question with the right level, kept as questions with no verdict.	The trouble and the pattern are blurred, a level is wrong, or a perspective's question is stated as a settled answer.	The trouble-and-pattern answer and the perspectives table are missing.
Critique of the chatbot or of the printed flawed analysis	On either route, at least two errors are quoted and corrected with evidence from the student's own tables or the chapter, out-of-scope claims are marked to check next week, and one correct point is acknowledged; both routes earn this band equally.	On either route, errors are named but corrected without evidence, or only one error is caught.	No critique appears, or pasted output is submitted without any checking.
Reflection on what the rates can show	The chosen reflection option is answered in 3–4 sentences that tie a specific limit of the rates, or a specific observation, to evidence that would test it.	The reflection is answered but stays general or names no evidence to check.	No reflection is submitted.

Quality Gate

• Every rate in the tables comes from your own formula, your hand computation, or the data table, never from memory or a chatbot.
• Each rate, divided by 100,000 and multiplied by its town's residents, gives back that town's job-loss count.
• The perspectives table holds three questions, each with its level, and no invented answer to any of them.
• 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 from your tables or the chapter.