Sara's EMEA CSAR Loop — Schema ==================================== Flat CSV in sara-emea-csar.csv. Two logical row groups distinguished by attempt. Columns ------- Column Type Description ------- ------------- ---------------------------------------------------------------------------------------------------------------------------------------- attempt integer 1 for the cold pass; 2 for the CSAR pass. step text For attempt 1: prompt, output. For attempt 2: crystallize, question_N, scope, assemble, refine, ship. label text (quoted) Short label describing the step (e.g. the question text for question_N rows, or "restatement accepted" for the scope row). detail text (quoted) The detail associated with the step (Sara’s answer for question rows; page count for assemble; correction description for refine). The label and detail fields are CSV-safe quoted strings so commas and quotes inside descriptions do not break parsers. Row inventory ------------- - 2 attempt-1 rows (prompt + output). - 12 attempt-2 rows (crystallize + 6 question rows + scope + assemble + 1 refine row + ship). Total: 14 rows. Deliberate design choices ------------------------- Unlike numeric datasets (Priya, Nadia, Kenji), Sara’s dataset carries no measured quantities. Its purpose is to lock the shape of the CSAR loop as a reproducible sequence. Every row is a locked fact that keeps the print figure (Fig 8.3), the chapter narrative, and this dataset in lockstep. The one designed asymmetry is that attempt 2 carries far more detail than attempt 1 — attempt 1 is deliberately short because its whole point is that the cold pass surfaces no defensible detail; attempt 2 is where the discipline lives. License ------- Released for teaching use alongside The Defensible Decision. Use freely.