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This paper provides a general perspective for evaluating interest inventories and simulations and outlines some activities to stimulate the development of more useful inventories.Previous evaluations have been primarily instrdment-specific; have relied generally on opinion rather than evidence; and have focused only on possible sex, age, race, or social class biases.Possible sex bias, especially, has received zach attention.The scientific evidence examined, however, suggests that interest inventories lack sex bias, and that a strategy o: seeking to improve inventory effects for everyone will be more productive than focusing on specific biases.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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