Cross-index benchmarking of the technical AI suitability component
| Measure | Benchmark evidence | Interpretation |
|---|---|---|
| Technical AI Suitability (TA) | Pearson correlation with existing technical AI exposure indices: r ≈ 0.72 | The TA component aligns with prior technical-only exposure measures. This supports the technical side of the rubric without claiming realised adoption |
| ISEF Exposure | Descriptive divergence from technical-only rankings | Divergence is expected because ISEF applies institutional resistance as a gating factor. The difference is part of the sociotechnical argument, not a failure of the TA measure |
| Measure | Benchmark evidence | Interpretation |
|---|---|---|
| Technical AI Suitability (TA) | Pearson correlation with existing technical AI exposure indices: | The TA component aligns with prior technical-only exposure measures. This supports the technical side of the rubric without claiming realised adoption |
| ISEF Exposure | Descriptive divergence from technical-only rankings | Divergence is expected because ISEF applies institutional resistance as a gating factor. The difference is part of the sociotechnical argument, not a failure of the TA measure |
Note(s): This benchmark is used as a concurrent-validity diagnostic for technical AI suitability. It does not validate realised adoption. Final ISEF exposure intentionally diverges from technical-only indices once institutional resistance is included
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