A Theoretical Framework
By T. M. Amabile. 1983
Subfields: Statistical Learning Theory
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In Statistical Learning Theory
- Pankaj C. Patel
- George Loewenstein
- Yiming Yang
- Uri Alon
- Peter Clark
- Joan L. Walker
- Johannes Fürnkranz
- Luc De Raedt
Citations in the corpus
- Self-Refine: Iterative Refinement with Self-Feedback (2023, background): “Iterative self -refinement is a fundamental characteristic of human problem-solving (Simon, 1962; Flower and Hayes, 1981; Amabile, 1983).”
- Spatial-temporal population dynamics across species range: from centre to margin (2005, background): “1; Levin and Kerster 1974, Grant and Antonovics 1978, Okubo 1980, Levin 1988, Greene and Johnson 1989, Okubo and Levin 1989, Menges 1991, but see Skellam 1951).”
- Extended discrete choice models : integrated framework, flexible error structures, and latent variables (2001, background): “See Gopinath (1995) and Ben-Akiva and Boccara (1995) for details on the specification and estimation of models with various combinations of discrete and continuous indicators and latent constructs.”
- The ostrich effect: Selective attention to information (2009, background): “Recent work by psychologists (e.g., Sloman 1996; Epstein et al. 1992) suggests that people may hold beliefs at different levels.”
- Struggling with social capital: Pakistani women micro entrepreneurs’ challenges in acquiring resources (2017, background): “As Dechant and Lamky (2005) have argued, women entrepreneurs in Arab countries face similar formal and informal barriers to those found in other countries, except for one difference: the influence of Islamic values.”