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Each theme was assigned a senior RCMP executive owner, who organized periodic meetings of local and national managers to review progress against the theme's targets.
Note that some observers did not assign any theme to some topics, and that in many cases more than one theme was assigned to the topics.
Each theme was assigned a letter and the number of appearances of a theme was tabulated.
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Based on the observation and knowledge gained regarding contribution of various parameters for creating the landslide susceptibility condition in the study area, weight for each theme and rank for each class within the theme were assigned.
Provider comments reflecting more than one theme were assigned multiple codes.
Each theme/sub-theme was assigned a color code, data was manually sorted, and theoretical associations to gender dynamics, masculinities and household roles were established.
Each of the input themes is assigned with an influence weight based on its importance.
A knowledge based weights (for each thematic layer) and rank (for each classes of the themes) were assigned.
Our coded themes were assigned to nodes, which facilitated their arrangement to form a framework; for example, a 'relationships' theme might comprise sub-themes of nodes containing coding for family relationships, social relationships, sexual relationships, and so on.
In the second, we were free to choose any form, or none; it was the theme that was assigned.
Each week of the year was assigned a message theme for spots; the theme of the longer modules changed daily but followed the same weighting as the spots.
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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