{"id":"study-claim-or-evidence-sentences","audience":"college","category":"studying","technique":"examples","track":"study","title":"Practice telling claims from evidence in a reading","free":false,"task":"Your Political Science professor says you keep summarizing evidence as if it were the author's argument. Get exactly 5 numbered lines, one per marked sentence in the excerpt, each labeled exactly Claim or Evidence with a reason under 8 words, plain text. Use your professor's definitions and don't summarize the reading.","materialLabel":"The excerpt and your professor's definitions (attached to your prompt automatically)","material":"POLS 2200 - Public Policy - Week 9 reading (excerpt)\nTeller, N. (2022). \"Small Towns, Big Turnout?\"\n\n[S1] Local elections matter more to daily life than national ones, yet far fewer people vote in them.\n[S2] In the 2021 municipal elections across 40 mid-sized US cities, median turnout was 18 percent.\n[S3] I argue that moving local elections to the same day as national elections is the most effective way to raise turnout.\n[S4] When Baltimore made this switch in 2016, turnout in its mayoral race rose from 13 percent to 60 percent.\n[S5] Critics' worry that voters will ignore local races on a crowded ballot is overstated.\n\nPROF. KWAN'S DEFINITIONS:\n- Claim: a statement the author argues for or that someone could reasonably dispute; often an opinion, judgment or prediction.\n- Evidence: a specific fact, number, example or finding offered to support a claim.\n\nProf. Kwan's comment on my last response: \"You summarized Teller's numbers as her argument. Separate the two.\"\n\nReading response due Wednesday. I'll write it myself; I just need practice telling them apart.","rules":[{"type":"numberedItems","count":5},{"type":"maxWords","max":95},{"type":"plainText"}],"mistakes":[{"title":"Asking for a summary","why":"The AI summarizes the reading, which is the habit your professor wants you to break.","fix":"Say: \"Don't summarize. Label each marked sentence.\"","checks":["r2"]},{"title":"Not giving exact labels","why":"Without fixed labels, the AI describes each sentence instead of classifying it.","fix":"Say: \"Label each exactly Claim or Evidence.\"","checks":["r0"]},{"title":"Not naming the standard","why":"The AI may call a judgment like S5 evidence because it sounds factual.","fix":"Add: \"Use Prof. Kwan's definitions.\"","checks":["r1"]},{"title":"Not saying how many lines","why":"The AI picks its own number, and it usually picks more lines than you need.","fix":"Be exact: \"Exactly 5 numbered lines.\"","checks":["numberedItems"]},{"title":"Trusting the AI to count words","why":"AI is bad at counting. Ask for a total and it often lands 20% over.","fix":"Cap each reason: \"under 8 words.\"","checks":["maxWords"]},{"title":"Forgetting where it will be read","why":"AI formats for a screen, with bold and headings that show up as stray symbols in your notes.","fix":"Say: \"Plain text, no bold, no headings.\"","checks":["plainText"]}],"promptHints":[{"label":"Gives exact labels","patterns":["claim.{0,15}evidence","label"]},{"label":"Uses the definitions","patterns":["definition","kwan","professor"]},{"label":"Rules out a summary","patterns":["(don't|do not|no).{0,15}summar"]},{"label":"Says how many lines","patterns":["\\b(5|five)\\b.{0,25}line"]},{"label":"Sets a length limit","patterns":["\\d+\\s*words","word (limit|count)","under \\d+"]}],"hint":"Practice separating claims from evidence by labeling, not summarizing. Give the AI the two labels, your professor's definitions, and rule out a summary.","rubricLabels":["Each line uses exactly one label, Claim or Evidence, for sentences S1 to S5 in order","The labels match the definitions: S1 Claim, S2 Evidence, S3 Claim, S4 Evidence, S5 Claim","Gives no summary of the reading and no draft sentences for the reading response"]}