Week 13 Political Analysis Workshop: What Does a Freedom Score Measure?

Introduction to Political Science Free sample edition

Part 1 — The Big Picture

This week you learned that political scientists cannot run experiments on countries, so they compare cases on a plan and read published indices such as Freedom House's Freedom in the World 2026 and V-Dem's Democracy Report 2026. An index score is built by trained coders scoring each indicator against a published method: transparent and useful, and still a judgment process. In this workshop you read the data the way a political scientist does. You check four pinned country scores against Freedom House's own pages, rebuild each total in a spreadsheet, and see how much of each range a country reaches. You watch two illustrative coders disagree on a made-up country, run the data scaffold on one real score, map one commentator's argument with every premise labelled empirical or normative, and then catch a chatbot's version of the same analysis inventing quotations, cases, and statistics, swapping thinkers, and picking winners the data cannot pick.

Time budget: Plan for about 90 minutes.

Part 2 — The Task

Guiding question: What does a Freedom in the World 2026 score measure, and what does it not, and how far can four pinned scores carry an argument about why countries differ?

Workshop data: Freedom in the World 2026 scores for four countries, with an illustrative two-coder check on a made-up country

Source: Table 1's subscores, totals, and statuses are Freedom House's published Freedom in the World 2026 figures, covering 2025, for Canada, Japan, Botswana, and Mexico, as printed on Freedom House's country pages; the V-Dem counts in Table 1's note come from V-Dem's Democracy Report 2026. Table 3 is an illustrative case constructed for this workshop: two made-up coders scoring Tellaro, a made-up country, on five indicators. Table 4's argument is an illustrative commentator's, not a real person's.

Rows: 4 rows of data in Table 1, one per country, plus 5 rows of illustrative coder scores in Table 3 (Table 3 shows 6 rows, the sixth for your totals)
Columns: country; political rights out of 40; civil liberties out of 60; total out of 100; status; rights share; liberties share
Edition and year: Freedom in the World 2026, covering 2025
Argument premises: 4 premises in the commentator's argument (Table 4)

Part 3 — Materials & Procedure

Tools and materials

Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches
A document or notebook for your written answers

Ways of working

primary-text-analysis
read-the-data
argument-map-and-steel-man

Procedure

Open Freedom House's report page titled Freedom in the World 2026: The Growing Shadow of Autocracy and its research methodology page. Find the number of indicators, the 0 to 4 scoring, the two subtotal ranges, and the three statuses, and check them against the column headers of Table 1. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Table 1's headers match the methodology: political rights out of 40, civil liberties out of 60, a total out of 100, and the statuses Free, Partly Free, and Not Free.
Open Freedom House's country pages for Canada, Japan, Botswana, and Mexico in the 2026 edition. Check each political-rights and civil-liberties score in Table 1 against its country page. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Every subscore and status in Table 1 matches its country page for the 2026 edition, covering 2025.
Open a blank spreadsheet. In row 1 type the headers Country, Political rights, Civil liberties, Total, Rights share, and Liberties share in columns A to F. In rows 2 to 5 type the four countries and their two subscores from Table 1. In D2 type =B2+C2, in E2 type =B2/40*100, and in F2 type =C2/60*100, then copy D2 to F2 down to row 5. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: D2 to D5 match the totals on the four country pages, and every share in columns E and F lies between 0 and 100.
Copy each total and each share, rounded to one decimal place, into the blank cells of Table 1. Then, for each country, subtract its liberties share from its rights share and note which country shows the largest gap. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Table 1 has no blank cells, and each gap is written with the subtraction that produced it.
Read Table 3, the illustrative scores two trained coders gave the same made-up country, Tellaro, on five indicators. In the spreadsheet, type the two coders' scores in two new columns, add each column with =SUM( over its five cells, and mark every indicator on which the coders disagree. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Both totals and the number of disagreements are filled in Table 3, each with the formula or hand count that produced it.
Choose one of the four countries and complete Table 2, the data scaffold: what is measured, over whom and when, what the score shows, what it does not show, and whether it shows a correlation or a cause. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Every row of Table 2 is filled, and the last row answers correlation or cause in words.
Read the commentator's argument in Table 4. Label each premise empirical or normative, name one assumption the argument needs, state the strongest objection as its own defenders would put it, and write a two-sentence reply. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Table 4 has no blank cells, and the objection is written in a form its defenders would accept as fair.
Paste your completed tables into one approved chatbot, then paste the prompt from Part 6 below them. Record each of its answers in Table 5 and check every one against the Freedom House pages, the V-Dem counts in Table 1's note, your own tables, and this week's definitions. Tool: Authoritative archives and data sources (the National Archives, the Avalon Project, Project Gutenberg, the Legal Information Institute, un.org, the House of Commons Library, Pew Research Center, Freedom House, V-Dem, the World Bank, Our World in Data) plus a spreadsheet for the seat-allocation and margin-of-error arithmetic, and one approved chatbot used as an analysis partner whose political-science slips the student catches. Check: Table 5 has one row for each of the chatbot's answers, with each marked as checked against a source.

Fallback route

When to use it: Use this route if no spreadsheet is available or the Freedom House pages cannot be reached.

Work the same steps by hand. Table 1 already prints the four pinned subscores and statuses exactly as Freedom House's 2026 country pages give them, so add each pair by hand, divide each part by its range and multiply by 100 with a calculator or by long division, and write each calculation so it can be checked. Add the two coders' columns in Table 3 by hand and mark each disagreement. Complete every 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

Table 1 holds the four pinned Freedom in the World 2026 scores, covering 2025; check each against its country page, then compute the total and each part as a share of its own range. For comparison, V-Dem's Democracy Report 2026 counts 31 liberal democracies, 56 electoral democracies, 57 electoral autocracies, and 35 closed autocracies for 2025, in its own categories.

Student scaffold table 1
Country	Political rights (out of 40)	Civil liberties (out of 60)	Status
Canada	39	58	Free
Japan	40	56	Free
Botswana	31	44	Free
Mexico	26	32	Partly Free

Table 2 is the data scaffold you use on every real figure; it keeps what a score shows apart from what it does not.

Student scaffold table 2
Scaffold question	Your answer for the country you chose
What is measured?
Over whom and when?
What does the score show?
What does it not show?
Correlation or cause?

Table 3 is an illustrative check on expert coding: two trained coders scored the same made-up country, Tellaro, on five indicators, each from 0 to 4.

Student scaffold table 3
Indicator (illustrative)	Coder A	Coder B
Elections are free and fair	3	2
The press can report without punishment	2	2
Judges rule without pressure	3	3
People can gather and protest	1	2
The law treats every group equally	2	1
Total, and number of disagreements

Table 4 maps one commentator's argument about the four scores so you can label every premise by its kind and test it fairly.

Student scaffold table 4
Part of the argument	What the commentator says (illustrative)	Kind (empirical or normative)
Thesis	Mexico's lower score shows that Mexico's institutions caused its lower freedom, so its neighbors ought to treat it as a lesser partner.	Normative
Premise 1	Mexico scored 58 and Canada scored 97 in Freedom in the World 2026, covering 2025.
Premise 2	Across many countries, wealth tends to come with democracy.
Premise 3	A country with a lower score ought to be treated as a lesser partner.
Premise 4	An index ought to count civil liberties more heavily than political rights.
One assumption the argument needs
Strongest objection, stated as its defenders would
Your reply

Table 5 is your critique log; it records what the chatbot said and what the sources or your tables show instead.

Student scaffold table 5
Chatbot answer	What it said	What the source or your tables show	Correction
1
2
3
4
5
6
7

Part 5 — Analysis Questions

Report each country's total and its two shares, rounded to one decimal place, and show the formula or hand calculation you used. Then say which country's rights share and liberties share are furthest apart, and by how much.
From Table 3, report each coder's total for Tellaro out of the top possible score, and how many of the five indicators the coders disagree on. What does this small illustrative example show about why an index score is a judgment process and not a raw physical fact?
Using your Table 2, explain what the score of the country you chose can and cannot tell you. Why is the score never a verdict on that country's people, and why can you not read a cause off it?
Using Table 4, name the premise that carries the argument's value judgment, name the premise that is a correlation, and state the strongest objection as its defenders would put it before you reply. Then explain why Freedom House's 88 Free countries and V-Dem's 31 liberal democracies are never added or merged.
Name two limits of this analysis, such as that four countries are a very small N, that the Tellaro coders are illustrative, or that one edition covers one year only, and say how each limit affects what you can conclude.
Choose one and answer it in 3–4 sentences: (a) Which of the four explanations of democratization would you most want to test with a comparison of two of these countries, and what would the comparison need to hold constant? (b) Should an index weight civil liberties more heavily than political rights, and what is the strongest case against your choice?

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. Please do seven things. First, quote the exact sentence from Lipset's 1959 article that states his conclusion about wealth and democracy. Second, name the court case that ruled on how democracy must be measured, and say what it held. Third, tell me how many democracies V-Dem counted for 2025 and what share of the world's population lived in Free countries. Fourth, tell me who proposed the most-similar and most-different designs and who named the many-variables, small-N problem. Fifth, tell me which of the four countries in Table 1 has the best government and which explanation of democratization is right. Sixth, explain in one sentence why Mexico scored lower than Canada. Seventh, label each of the four premises in Table 4 as empirical or normative.

Test the response for these likely failures:

Chatbots often produce a confident quotation said to come from Lipset's 1959 article, such as a one-line claim that wealth makes democracy inevitable, with quotation marks around words the article does not contain.
Chatbots often name a court case, with a confident citation, said to have ruled on how democracy must be measured or to have required governments to accept an index's ratings.
Chatbots often give V-Dem regime counts from an older edition, or invent a share of the world's population living in Free countries, with no edition or year attached.
Chatbots often credit the most-similar and most-different designs to Lijphart, or credit the many-variables, small-N problem to Przeworski and Teune, swapping the two works.
Chatbots often declare which of the four countries has the best government, or which explanation of democratization is the right one, as if the scores proved it.
Chatbots often explain in one sentence why Mexico scored lower than Canada, naming a single cause such as wealth or culture.
Chatbots often label premise 3 or premise 4 of Table 4 as empirical, or call premise 2 proof that wealth causes democracy.

In 3–5 sentences, say what the chatbot got right, quote at least two sentences it got wrong, and correct each one with evidence from the Freedom House pages, the V-Dem counts, 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 7 (apply the comparative method to political systems and political development — most-similar and most-different designs, state capacity, and the competing explanations of democratization — and read comparative-governance indices critically, with their edition and year) and Objective 4 (compare regime types and constitutional structures — direct and representative, electoral and liberal democracy; authoritarian and totalitarian rule; democratization and backsliding; what constitutions do; the rule of law, separation of powers, and checks and balances), 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: "Lipset wrote that 'wealth makes democracy inevitable,' and a court later ruled that governments must accept Freedom House ratings. V-Dem counted 120 democracies for 2025, and about two thirds of the world's people live in Free countries. Lijphart invented the most-similar design, and Przeworski and Teune named the small-N problem. Canada has the best government of the four, and modernization is the right explanation. Mexico scored lower than Canada because it is poorer. Premise 3 in Table 4 is a fact anyone can check, and premise 2 proves that wealth causes democracy." Mark every error you can find, quote at least two, and correct each one in 3–5 sentences with evidence from the Freedom House pages, the V-Dem counts, 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 five completed scaffold tables
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 Political Analysis Workshop report on four pinned governance scores and one illustrative coding check: five completed tables (the four scores rebuilt with their totals and shares, the data scaffold for one country, the two-coder check on a made-up country, the commentator's argument mapped with every premise labelled, and a critique log), written answers to six analysis questions, and a critique of a chatbot's version of the same analysis, 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 chart of the four countries' two shares 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
Reading and rebuilding the pinned scores	All four subscores match the 2026 country pages, every total and share is computed with the method shown, each figure carries its edition and year, and the largest gap between the two shares is identified with its subtraction.	Most scores are checked and computed, but a share or total is missing, a method is not shown, or the edition and year are dropped.	No scores are checked or computed, or figures are copied from memory or a chatbot.
Reading what an index shows and does not	The data scaffold is complete for one country, the two-coder check is totalled with its disagreements counted, and the answers explain why a score is a judgment process that shows conditions, never a cause or a verdict on a people.	The scaffold or the coder check is incomplete, or a score is partly read as a cause or a raw physical fact.	No scaffold or coder check is given, or a score is treated as proof of a cause or a verdict on a people.
The argument map and the strongest objection	Every premise in Table 4 is labelled correctly, the correlation premise is not treated as a cause, an assumption is named without being treated as a flaw, the strongest objection is stated fairly before a reply, and the two indices' categories are kept apart.	One premise is mislabelled, or the assumption is missing, or the objection is weakened, or the two indices' figures are blurred.	The premises are unlabelled, or no objection is stated.
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 Freedom House pages, the V-Dem counts, 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 the reflection gives no reason.	No limit or reflection is given.

Quality Gate

Every score in Table 1 matches its Freedom House country page for the 2026 edition, covering 2025, and every figure is written with its edition and year.
Every total and share comes from your own formula or hand calculation, never from memory or a chatbot.
Every status and category is written exactly as its source spells it, and Freedom House's statuses are never merged with V-Dem's categories.
No score is read as a cause or as a verdict on a country's people; the data scaffold ends with correlation or cause, answered in words.
Every premise in Table 4 is labelled empirical or normative, and the objection is stated as its own defenders would put it.
No quotation, court case, statistic, study, or source is invented anywhere in the submission, and in-copyright works are described in words, never quoted.
The critique quotes the chatbot or the flawed analysis and corrects at least two errors with evidence.

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