Unblock objective Belgian training loop

backend/tests/test_belgium_training_loop.py

@@ -91,7 +91,34 @@ def test_loop_refuses_failed_dataset_audit(tmp_path: Path) -> None:
         check=False,
     )
     assert result.returncode != 0
-    assert "Dataset audit is not ok" in result.stderr
+    assert "Dataset audit is not eligible for training" in result.stderr
+
+
+def test_pending_human_review_does_not_block_objective_training() -> None:
+    audit = {
+        "status": "needs_human_review",
+        "failures": [],
+        "manifest_immutable": True,
+        "spatial_leakage_status": "ok",
+        "low_variance_positive_tile_count": 0,
+        "review_complete": False,
+    }
+    assert MODULE.dataset_audit_failures(audit) == []
+
+
+def test_training_audit_still_fails_closed_on_automated_integrity_gates() -> None:
+    audit = {
+        "status": "needs_human_review",
+        "failures": ["wallonia/test below minimum"],
+        "manifest_immutable": False,
+        "spatial_leakage_status": "failed",
+        "low_variance_positive_tile_count": 2,
+    }
+    failures = MODULE.dataset_audit_failures(audit)
+    assert "wallonia/test below minimum" in failures
+    assert "corpus manifest is not immutable" in failures
+    assert "spatial leakage audit is not ok" in failures
+    assert "dataset contains blank/low-variance positive tiles" in failures
 
 
 def test_calibration_failure_blocks_protected_evaluation() -> None: