| 1 |
Baseline cross-check E1: printed '% change' for 5 km = -35.0%; computed 100(exp(-0.431)-1) = -35.01 |
PASS (agrees to rounding) |
| 2 |
Baseline cross-check E3: 100·η·g = -1.8236% vs (missing + excess jobs) = -0.03+0.012 = -0.018 (-1.8%) and abstract "2% employment decline" |
PASS (consistent magnitude/sign) |
| 3 |
Internal identity source MW: affected employment / affected wages = -0.268/0.366 = -0.732 = printed own-wage elasticity |
PASS (source internally coherent) |
| 4 |
E2 magnitude: 1.47/75.0 = 1.96%; compare paper's own analogue for wages (1,153/33,043 = 3.5%, printed) — same method |
PASS (method consistent with paper's own convention) |
| 5 |
E5: -0.0962×100 = -9.62 pp; sign matches 'decreases the likelihood' in text |
PASS |
| 6 |
E4: regex search of extract for any printed level of fatal rate → none found; also manual reading of all 134 lines |
PASS (non-harmonisable justified) |
| 7 |
Counts: n_harmonised(4) + n_not_harmonisable(1) = n_analysed(5) = effects.json items(5); value null ⇔ harmonisable false ⇔ missing_quantity non-null |
PASS |
| 8 |
Exclusion ledger: 5 − 0 = 5 = n_analysed |
PASS |
| 9 |
Reproducibility: deleted results.json, re-ran analysis.py, byte-identical output (cmp) |
PASS |
| 10 |
Input SHA-256 match data/README.md for all 4 extracts |
PASS |
| 11 |
No SE/CI keys → no CI-contains-estimate checks applicable; no dates involved |
N/A |