ATProto Browser

{
  "text": "Borrowing from psychometrics (a field specialized in the measurement of concepts that are not directly observable), we argue that it is useful to decouple the \"construct\" (what we want to know about but cannot observe directly) from its \"operationalization\" (the imperfect proxy).",
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        "alt": "Screenshot of a figure with the caption: \"We assume that a training dataset's bias influences the bias of a model trained on that data (but other possible sources of bias are possible, e.g., model compression may amplify existing biases (Hooker et al., 2020)). Training dataset bias and model bias are unobservable constructs (circle) that both have different possible operationalizations (squares).\"",
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  "createdAt": "2024-01-24T09:25:07.835Z"
}