External Validation as a Workflow Rather than a Seal
Abstract
The boundary between useful assistance and an unsupported claim becomes visible when good discrimination treated as proof of improved care. This literature-based conceptual analysis does not report a new experiment. The focal evidence concerns whether baseline hearing measurements can predict subsequent speech-frequency hearing loss in noise-exposed industrial workers. Validation supports a bounded statement about a model, a dataset, and an outcome. It is not a certificate that follows the model into every later task. Write the precise claim justified by each evaluation. Test missing components separately, including uptake, follow-up capacity, and the consequences of false alerts. The proposed comparison concerns validation sites, risk thresholds, clinical actions; it would test whether the specific failure scenario is detected without erasing legitimate uncertainty. An integrated account should preserve the distinction between noise-exposed workers and clinical follow-up and any stronger downstream decision.
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