docs: fix two spec ambiguities in axis classification design

- Clarify CSV path derivation from db_path (same data/ directory)
- Handle current_parliament window exclusion from modal label voting

docs/superpowers/specs/2026-03-29-axis-classification-design.md

@@ -160,6 +160,10 @@ Single public function: `classify_axes(positions_by_window, axes, db_path)`.
 
 The function is pure except for reading two CSV files (cached module-level after first load).
 
+CSV paths are derived from `db_path`: `Path(db_path).parent / "party_ideologies.csv"` and
+`Path(db_path).parent / "coalition_membership.csv"`. Both files live in the same `data/` directory
+as the database.
+
 **Algorithm per window:**
 
 1. Collect parties that appear in both `positions_by_window[window_id]` and `party_ideologies.csv`.
@@ -184,7 +188,9 @@ The function is pure except for reading two CSV files (cached module-level after
 6. Repeat steps 3–5 for Y-axis using `party_y`.
 7. After processing all windows, pick global X label = modal label across annual windows only
    (quarterly windows participate in quality tracking but not in the modal vote, to avoid
-   over-weighting).
+   over-weighting). The `current_parliament` window is excluded from modal voting entirely and
+   from the coalition dimension (no year to look up); it still gets x_quality and x_interpretation
+   based on the left_right and progressive correlations.
 
 **Interpretation strings (Dutch):**