Linking research, training and practice ( profession)...in which way?

St Arnault(1976) gave an amazing allegory to explain the relation between the three axes (research, training & pratice): the three Russian Dolls allegory. The first fat doll refers to the researcher, the medium sized doll refers to the teacher, while the small doll refers to the front line practitioner. His wish was ( in the 1960/1970) that one day,  in a higher education context, to have a profile that integrates the three dimensions: research, teaching and professional acumen/agency. Preferably, a profile whereby the small doll will reach out to be a fat doll one day....a researcher who passed through practice, taught that practice and , last, engaged in research on that practice. According to Arnault, the positivist approach, whereby the researcher with no professional AND pedagogical acumen, does not hold much in an educational context ( especially when researching professionally oriented disciplines).

I think that a combinations of all three dimensions would certainly be the idea profile sought in a modern higher education context. This is like the case of a medical doctor who has been a practitioner for years and then taught medicine at the university in addition to his or her daily engagement in research. The same can be said about another faculty in engineering or sports sciences. A researcher with no praxiological and grounded experience as well as a customized pedagogical approach to teach the discipline, he or she is engaged in, remains hollow in today's higher education context.

last, similar analogy can be transferred for translation & interpreting faculty's competencies. A hybrid profile where both front line expertise in the language industry, the proved expertise in innovative training methods and pedagogy as well as acumen to do applied research ( evidence-based) these three elements would make an ideal faculty profile in translation departments par excellence.....Rare to find though....Not always! This point ahs been discussed widely in a doctoral research paper submitted in 2017. Updated articles are in the pipeline.