BWhat changed
Built a stratified collection of web-text prompts and evaluated how language-model continuations receive toxicity scores, testing how prompting context and existing mitigation approaches affect toxic generation.
Scientific scope
Built a stratified collection of web-text prompts and evaluated how language-model continuations receive toxicity scores, testing how prompting context and existing mitigation approaches affect toxic generation. The assessed contribution is the evaluation resource and its design, not a model capability score. The sampling design is not a natural-prevalence estimate. Toxicity scores inherit classifier biases and threshold choices; a low score does not establish absence of all harms or effectiveness for every population.
Evidence
The linked original works support the scoped statement and contribution attribution. WRS has not independently replayed experiments or reconstructed a full mathematical proof. The assessed contribution is the evaluation resource and its design, not a model capability score. The sampling design is not a natural-prevalence estimate. Toxicity scores inherit classifier biases and threshold choices; a low score does not establish absence of all harms or effectiveness for every population.
Contributors
- The named authors in the research record · SCIENCE: Source-listed authors for the exact contribution; experimental subjects are not autonomous scientific authors. Source support and predecessor work retain separate roles. Individual effort shares and unresolved identities are not inferred.
Provisional WRS assessment, edition 2026-10-23.4. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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