Medicine — Student Exercises (Wikipedia Module)
These exercises train students to read Medicine articles on Wikipedia as structured, evidence‑anchored regimes, not as passive information.
Each task is short, concrete, and aligned with the RTT/1 operator‑training pattern used across all subject domains.
1. Lead‑Section Evidence Scan#
Choose any medical article (disease, drug, procedure).
Task:
Identify three claims in the lead section and classify each as:
- definition
- epidemiologic summary
- treatment overview
Then note whether each claim is supported by high‑quality medical sources (guidelines, systematic reviews).
2. MEDRS Compliance Check#
Open the article’s References section.
Task:
Select five citations and categorize them as:
- systematic review
- clinical guideline
- primary study
- news / non‑medical source
Write 3–4 lines evaluating whether the article meets biomedical sourcing standards.
3. Structural Template Recognition#
Pick any disease or disorder page.
Task:
Map the article’s structure into the standard medical pattern:
- signs and symptoms
- causes / pathophysiology
- diagnosis
- treatment
- prognosis
- epidemiology
Note which sections are complete, partial, or missing.
4. Revision‑History Stability Scan#
Choose a medical article with moderate traffic.
Task:
Review the last 50 edits and record:
- frequency of updates
- whether edits are minor, corrective, or content‑expanding
- any bursts linked to new research or public‑health events
Summarize the article’s R1 stability profile.
5. Infobox Consistency Check#
Open a disease, drug, or medical‑procedure page.
Task:
Inspect the infobox and list:
- key fields (e.g., ICD codes, drug class, risk factors)
- any missing or inconsistent entries
- whether the infobox aligns with the article body
Explain how the infobox shapes the R0 structural regime.
6. Pathophysiology Mapping#
Choose a disease with a clear biological mechanism.
Task:
Extract the pathophysiology section and rewrite it as a three‑step causal chain:
- initiating factor
- biological mechanism
- clinical outcome
This builds R2 mechanistic awareness.
7. Diagnostic Logic Exercise#
Pick any diagnostic‑heavy article (e.g., imaging, lab test, syndrome).
Task:
Identify:
- the primary diagnostic criteria
- differential diagnoses
- key tests or imaging modalities
Write 3–5 lines describing the clinical reasoning structure.
8. Treatment‑Evidence Ladder#
Choose a treatment‑focused article (drug, therapy, procedure).
Task:
List three treatments and classify each by evidence level:
- guideline‑supported
- systematic‑review supported
- limited evidence
- emerging / experimental
Explain how evidence level influences R3 attractor strength.
9. Epidemiology Pattern Recognition#
Pick any disease with global prevalence data.
Task:
Extract:
- incidence
- prevalence
- demographic patterns
- geographic variation
Write a short paragraph describing the population‑level regime.
10. Mini‑Synthesis (R0 → R3)#
Choose any medical topic and complete:
- R0: What is the surface structure?
- R1: What is the editorial activity pattern?
- R2: What conceptual or mechanistic frames organize the article?
- R3: What evidence‑based or biological attractors shape the domain?
This is the capstone exercise for triadic medical‑regime awareness.
These exercises belong to the Medicine directory of the Wikipedia Awareness module.
They follow the RTT/1 student‑training format used across all subject domains.