Study guide: Build a Defensible Archive Interpretation
Evaluate missing denominators, archival selection, competing interpretations, and transparent conclusions.
Ideas to explain in your own words
- Compare interpretations using provenance, missing perspectives and corroboration.
- Distinguish absent records from absent experiences using a complete fictional collection history.
- Use matched rates and an alternative mechanism to evaluate two interpretations.
- Build an interpretation with provenance, calculations, counterevidence, and a revision condition.
Watch your reasoning
- Units per labor-hour requires comparable output and labor-hour totals for both periods. Another copy of the same claim adds no independent measurement, and the other details do not supply the denominator.
- The collection history explains non-inclusion. It does not supply payroll contents or justify conclusions about actual pay.
- Both ratios equal two. Higher total output alone does not establish higher output per labor-hour or any particular tool effect.
- This statement shows the denominator, traces dependency, and limits the worker account. The other options invent independence or generalize beyond evidence.
A worked review example
Explain what an archive leaves out: The report supplies a daily total increase of 20 units. If hours also rose, units per hour could rise, stay the same or fall. Interpretation B respects that missing denominator and the limited worker account. Audit How an Archive Was Assembled: “Managerial output reports dominate this archive because the office donated them. The sole worker letter arrived from one family, so it is an individual account. Rosters were discarded, and payroll files were not offered. The archive cannot establish worker-wide schedules or pay; another surviving roster or payroll collection could help, but none is supplied.” Test Competing Output Interpretations: “Output rose 20 units, or 20%. Before 100/50=2 units per labor-hour; after 120/60=2. The second interpretation fits unchanged measured productivity. The data cannot isolate schedule versus tool contributions or determine worker pay and experiences.” Write a Transparent Research Brief: “For items per labor-hour, 80/40=2 before and 96/48=2 after, so the supplied figures show unchanged measured efficiency. The newsletter copies daily totals and overlooks hours. One letter reports a longer individual shift; it does not establish worker-wide benefits. The everyone-benefited caption exceeds the archive. Corrected comparable hour/output records could change the ratio conclusion, and broader worker records would be needed for experiences.”
Make a practice plan
- Try the supplied lesson problems without looking at the answers.
- Compare your method with the worked examples and explain any correction.
- Use the new review cases, then complete the transfer task on paper or in your own document.