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"You will always have a level of generalisation.
Hypotheses can be ordered according to their level of generalisation.
Comparing the level of generalisation between hypotheses of different types is not trivial and in some cases impossible when the underlying molecule attributes are not directly comparable.
Their breakdown allows for a more dynamic and comprehensive account of FRP development, while also incorporating heterogeneity and allowing for a certain level of generalisation.
Once the hypotheses have been generated we can organise them into a hierarchical structure that captures the different level of generalisation of the knowledge.
Example based hypotheses usually provide a very poor level of generalisation but they represent experimental evidence which makes them extremely valuable.
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Although this increases the computational requirements of the NN learning process, benefit is obtained in terms of higher levels of generalisation.
Grand theory—such as a theory of social inequality, for example—is formulated at a high level of abstraction; it makes generalisations that apply across many different domains.
As a mid-range theory, RBV should provide a sufficient level of abstraction to enable generalisations across programmes to be made, or from a realist perspective, explanations of demi-regularities to be made.
Figure 6 Ordering hypotheses according to their degree of generalisation.
This means avoiding the need to convert all the data to a single standard (impractical), but rather finding ways to make it usable at some higher level of aggregation or generalisation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com