Thanks. I work strictly with large-set open data. I don't do book report research as much of it is from a methological echo chamber. I let others debate that stuff.

Lots of synthesis of "existing literature" involving unrepresentative sample size and very, very laggy reporting.

I know in Canada, the government data science talent pool is extremely thin. Their output is known to be really slow and lumpy, generally using deprecated technologies.

In my country, we're still wrapping our heads around our indigenous genocide (in progress). The colonist thugs involved were teachers, social workers and bureaucrats. These have perpetuated lies for 200 yrs. It'll continue as long as we like mineral rights.

Despite federal open gov mandates, the Canadian data is but a trickle of molasses in winter.