Exact(1)
(E) Explanations and motivations of contributions were clustered as 'exchange of information' (see Table 3).
Similar(59)
These assumptions help to explain (what may otherwise strike the reader as curious) why, as this entry will illustrate, discussions of scientific explanation so often move back and forth between examples drawn from bona-fide science (e.g., explanations of the trajectories of the planets that appeal to Newtonian mechanics) and more homey examples involving the tipping over of inkwells.
Although there has been considerable research attention on the functions of proof (e.g., explanation), there has been less explicit attention in the literature on those same functions arising in the proving process.
Some researchers define scaffolds as interface features (e.g., explanation construction tools; Reiser 2004).
This typically occurred when the explanations (e.g. mental illness) and help (e.g. increased medication) offered by mental health services did not fit participants' models of their experiences.
Yet, there are many different kinds of both biological explanations (e.g. brain structure, genetics) and psychological explanations (e.g. in terms of cognition, emotion, or intentions).
In Malle's framework building on folk theory of behavior [ 59], relationships are classified as reason explanations (e.g., when the environment drives toward an action whose outcome was not desired) or causal explanations (e.g., when the participant has the intention of performing an action that leads to a desired outcome).
Amidst possible explanations (e.g., size, age and isolation), insufficient enforcement is often speculated to be a key driver of marine sanctuary underperformance.
After controlling for several standard explanations (e.g., wealth effects), I present evidence supporting naïve beliefs and extrapolation from past returns.
Explores institutional diversity in capitalist development, both historical and contemporary, and various explanations (e.g. economic, institutional, sociological, and political) for the divergent economic organization.
After showing that several potentially reasonable explanations (e.g. discrimination or elite capture) are not consistent with the data, they assess the quantitative impact of the most plausible remaining explanation, which involves monitoring and enforcement.
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