Research Library

Limitations: Observed Claude usage is not a full labour-market census and is still a platform-specific measure.

Repo use: Active live source in the audited exposure ensemble and a major input to the future task-native direction.

Limitations: Uses US outcome data and a platform-linked usage measure, so it still needs Singapore-specific interpretation.

Repo use: Primary candidate reference for promoting the shadow model beyond readiness-only governance.

Limitations: Experimental and workflow-specific evidence still needs careful translation into occupation-level scoring.

Repo use: Useful as a V5.1 calibration reference rather than as a direct V4.x score ingredient.

Limitations: The repo uses a simplified shadow-model concentration buffer rather than the paper's full firm-task empirical setting.

Repo use: Primary scientific justification for publishing task exposure concentration as its own field and using it in the shadow model.

Limitations: Still a global exposure measure rather than a Singapore outcome model.

Repo use: Included because its ISCO alignment improves crosswalk robustness for the ensemble.

Limitations: The study is Denmark-specific and examines early effects; longer-run displacement remains unresolved.

Repo use: Supports the repo's choice to keep structural risk separate from near-term or realised-risk interpretations.

Limitations: Provides strong augmentation evidence but still within constrained experimental settings.

Repo use: Supports the repo direction of modelling augmentation as its own construct rather than as a mirror image of automation.

Limitations: Adoption speed alone does not identify realised labour displacement or productivity effects.

Repo use: Used to justify separating structural pressure from near-term realised-risk proxies.

Limitations: Cross-country evidence informs the transition design, but the repo still needs a Singapore-specific mobility dataset.

Repo use: Guides the schema for observed transition priors and future ranking logic in the transition layer.

Limitations: The effect size is workflow-specific and should not be generalized into a universal augmentation constant.

Repo use: Candidate reference for replacing a single structural augmentation heuristic with workflow-aware priors.

Limitations: The paper is early and US-oriented, and it does not by itself provide Singapore labour-market calibration.

Repo use: Used as a reference for the repo's future task-native model direction, not as a direct live source key.

Limitations: Like other exposure indices, it measures capability overlap rather than realised displacement.

Repo use: Kept in the live ensemble because it adds an LLM-specific construct not covered by AIOE alone.

Limitations: Designed as a broad labour-exposure framing rather than a Singapore occupation-level calibrated outcome model.

Repo use: Directly tied to the theta-based bottleneck implementation in the current scorer.

Limitations: Measures theoretical exposure rather than realised AI use or job outcomes.

Repo use: Tied directly to the live AIOE source key and still used in the canonical exposure ensemble.

Limitations: Provides the conceptual bridge from AI capabilities to work content, but not current observed usage or Singapore-specific outcomes.

Repo use: Referenced as the foundational exposure framework behind later AIOE-style occupation measures.

Limitations: This is US evidence and should not be interpreted as Singapore occupation outcome truth.

Repo use: Lives in the repo as both a validation benchmark and a clearly labeled external proxy.

Limitations: The benchmark is model-centric and software-task heavy, so it is not a direct occupation impact measure.

Repo use: Useful for the forecast layer, not for the core structural score.

Limitations: This is a measurement agenda rather than an occupation-scoring formula.

Repo use: Best reference for the repo's longer-run shift from heuristic confidence toward richer uncertainty and task-native measurement.

Limitations: O*NET is US-based and enters the Singapore product mainly as explanatory or crosswalk context.

Repo use: Not a direct structural-score input, but essential for the supporting task layer and future task-native scoring.