The sector that barely moved. Government institutions entered the AI era with strong editorial oversight, formal approval chains, and established style conventions. Those structures held. The result is the lowest drift of any sector in the corpus.
Three findings from the Government sector corpus. Each carries statistical evidence from the full PRISM™ analysis.
Smallest median drift. Formal editorial governance kept voice intact across all eight institutions in the corpus.
Cultural markers per 1,000 tokens. Highest of any sector. Dense with institutional references, legislative terminology, and national administrative language.
Where other sectors accelerated downward after ChatGPT, government barely changed. Approval chains and formal style guides acted as structural resistance.
Current PLI scores versus 2015–2019 baseline. Sorted by drift magnitude.
Current PLI score versus 2015–2019 baseline. Scores with fewer than 10 documents in the current window are excluded. ⓘ Ordering rationale
| Organisation | Current PLI | Baseline PLI | Coverage |
|---|---|---|---|
| UK Gov | 78.1 | 80.2 | |
| Ministère | 76.4 | 79.8 | |
| Swiss Fed | 75.1 | 77.9 | |
| Bundesregierung | 74.8 | 77.5 | |
| Rijksoverheid | 73.9 | 76.4 | |
| Governo IT | 72.3 | 75.1 | |
| Gobierno ES | 71.6 | 74.2 | |
| EU Commission | 70.2 | 73.8 |
Organisations are ranked by PLI score. The confidence badge reflects the number of scored documents in the current window: High (≥ 30 documents), Medium (10–29), Low (fewer than 10). Low-confidence scores are included in the ranking and should be read alongside the document count.
Sector median with interquartile range (shaded). Corpus median shown as dashed reference line.
Ten PRISM™ dimensions. Baseline (dashed) versus current (solid). Sorted by drift in the table.
| Dimension | Baseline | Current | Δ | |
|---|---|---|---|---|
| Cultural Markers | 82.0 | 71.0 | -11.0 | |
| Idiom Density | 70.0 | 66.0 | -4.0 | |
| Burstiness | 68.0 | 65.0 | -3.0 | |
| Lexical Diversity | 74.0 | 71.0 | -3.0 | |
| Perplexity | 72.0 | 70.0 | -2.0 | |
| Readability | 62.0 | 60.0 | -2.0 | |
| Jargon Load | 76.0 | 74.0 | -2.0 | |
| Citation Density | 71.0 | 69.0 | -2.0 | |
| Hedging Language | 65.0 | 68.0 | +3.0 | |
| Generic Phrases | 58.0 | 62.0 | +4.0 |
Cross-sector linguistic similarity. Higher scores mean Government is beginning to sound like other sectors.
Quality metrics for the Government sector corpus used in this analysis.