@@ -39,31 +39,27 @@ Different variations of coding are widely used by grounded theory scholars for m
Grounded theory describes a myriad/... of frameworks/... for building a scientific theory \emph{grounded} in (mostly qualitative) data analysis.
Here, no finished theory is developed, but instead I employed a grounded theory inspired coding process in order to understand what edit filters filter.
I've followed the coding guidelines of constructivist grounded theory proposed/described by Charmaz in~\cite[p.42-71]{Charmaz2006}.
I've followed the coding guidelines proposed/described by Charmaz in~\cite[p.42-71]{Charmaz2006}.
%TODO edit: I don't really do anything with constructivist gt, so kick out "I've chosen this interpretation of GT"
I've chosen Charmaz's interpretation of grounded theory (she speaks of ``grounded theor\emph{ies}'' and calls her own constructivist rendering of it ``\emph{a} way of doing grounded theory'') precisely because of her acknowledgement of the subjective nature of every (piece of) research which is shaped by the believes, background and theoretical understanding of the people who conduct it, who always \emph{interpret} the subject they study rather than give an exact portrayal of it:
``we are part of the world we study and the data we collect. We \textit{construct} our grounded theories through our past and present involvements and interactions with people, perspectives, and research practices''~\cite[p.10]{Charmaz2006}
%TODO compare with section above that records are incomplete
She advocates for ``gathering rich–detailed and full–data and placing them in their relevant situational and social contexts''~\cite[p.10-11]{Charmaz2006} which is in line with Geiger and Ribes thick descriptions generated by trace ethnography
\footnote{As a matter of fact, both Charmaz, and Geiger and Ribes refer to ``thick descriptions'' which were coined as a term by~\cite{Geertz1973}}.
Coding is a process of labeling data in an attempt to make sense of it in a systematic/orderly fashion.
Coding is the process of labeling data in an attempt to comprehend it in a systematic fashion.
It is about seeking patterns in data and later–trying to understand these patterns and the relationships/correlations between them.
Above all, I applied emergent coding in chapter~\ref{chap:overview-en-wiki} when trying to make sense of the tasks EN Wikipedia's edit filters are employed for.
In the present inquiry, I applied emergent coding in chapter~\ref{chap:overview-en-wiki} when trying to make sense of the tasks EN Wikipedia's edit filters are employed for.
Key characteristic of the method are to let the codes emerge during the process contrasted to starting with a set of preconcieved codes.
Scholars regard this as useful because that way the danger of trying to press data in predefined categories while potentially overlooking other, better fitting codes is reduced.
Instead, the codes emerge/stem directly from observations of the data and stay linguistically close to the data.
A coding process is comprised of at least two phases: initial and focused coding.
During the initial phase (syn!) fragments of data are studied closely for ``their analytic import'' and potential promising codes.
During focused coding, we extensively test the most promising initial codes against the data.
During focused coding, the most promising initial codes are extensively tested against the data.
Since coding and analysis take place simultaneously, it is also part of the process/common to come back later and re-code parts of the data with labels that have emerged (syn) later (syn) in the process.
Finally, a third coding phase took place–the so called axial coding which ``relates categories to subcategories, specifies the properties and dimensions of a category''~\cite[p.60]{Charmaz2006}. % my organisation of the codes in vandalism/good faith/maintenance/unknown
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Grounded Theory~\cite{Charmaz2006}
# Coding in GT
Axial Coding: %<-- organise codes in bigger categories
"relates categories to subcategories, specifies the properties and dimensions of a category" (p.60)
