oop – ok, that walked through a few institutions rather quickly. Ok ,I need to take it piecemeal. I have education, work, prison. Their commonality for me was “people processing” for function capability, which is why skills testing, etc. So a further addition you’re suggesting (or perhaps it is from the author that used or created the graph I copied at the start? let me know) use of g as a… .. hm, as a sorting tool for work viability but as a “pre-sort” in order to save the workplaces time/money/etc by pre-sorting the workers for them. This would lighten the burden on employers in theory from having to administer these tests because the government would administer them. So that would fit under workplace except the government is pre-sorting for the workplaces. HOWEVER, it seems this goes a step further from using as a pre-sort tool to assist in-country workplaces. It removes the individual testing and substitutes historical statistics of g in order to prevent immigration based upon historical averaged g-scores across certain populations.

oop – ok, that walked through a few institutions rather quickly. Ok ,I need to take it piecemeal.
I have education, work, prison. Their commonality for me was “people processing” for function capability, which is why skills testing, etc.
So a further addition you’re suggesting (or perhaps it is from the author that used or created the graph I copied at the start? let me know) use of g as a…
.. hm, as a sorting tool for work viability but as a “pre-sort” in order to save the workplaces time/money/etc by pre-sorting the workers for them.
This would lighten the burden on employers in theory from having to administer these tests because the government would administer them.
So that would fit under workplace except the government is pre-sorting for the workplaces.
HOWEVER, it seems this goes a step further from using as a pre-sort tool to assist in-country workplaces.
It removes the individual testing and substitutes historical statistics of g in order to prevent immigration based upon historical averaged g-scores across certain populations.
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