Neuropsychoanalysis can answer this question. The biological functioning and substrate of humans typically operates below consciousness. Genetics and neurology are biological. Jung’s archetypes are transmitted genetically between successive generations. Archetypes of the collective unconscious are genetic and have such an ontological basis.
By the end of the trilogy (and still after fourth installment Iron Gold), it is undeniable that Darrow has earned almost unanimous respect of the universe’s various inhabitants. For the pioneering theorist of self-actualization Abraham H. Maslow, esteem follows from love as a universal human need.
If Darrow has achieved love by the end of the trilogy and respect after Iron Gold, has his character in fifth Red Rising novel Dark Age moved on to fulfilling his self-actualization needs (which come immediately after esteem in Maslow’s hierarchy)?
Whether Darrow is in the process of self-actualizing by Dark Age or not would require analysis of his actions and comparison with the traits of self-actualizing figures. Some of the latter’s traits include having a non-hostile, philosophical sense of humor as well as superior perceptions of reality.
Probably the easiest self-actualizing trait to relate Darrow with is autonomy. In his efforts to preserve “the Rising” of his “Red” social class (primarily made up of miners), Darrow has come to develop a highly independent conscience. He has become the kind of hero who sees what must be done for the cause he and his team have fought for over more than a decade–even when certain members of said team might not understand themselves.
It doesn’t matter for the Rising if a few of its proponents have strayed from the core of its project, which is to break the chains of slaves everywhere. Darrow is the heart of the revolution, and to keep its flame lit, it may be that he must self-actualize in certain ways.
As I’ve resumed listening to Brian Christian and Tom Griffith’s Algorithms to Live By (audiobook), I got to thinking about how to approach the timely topic of racism from a computer science (CS) perspective.
One of the big questions in the field of CS is whether a given problem is computable–i.e., solvable via algorithm. Subjecting racism to this approach might yield the following:
Become aware of ethnic prejudice and bias
Reverse said prejudice and bias
Of course, the devil would lie in the details of such a simple method. But basically, this is the “algorithm” (if any) that we should expect to follow to solve racism.
One note about 1: ethnic substitutes for racial given the science of race. This science suggests that humans differ genetically more within than across populations. (I can’t find the article I found in 2015 detailing this study; this Wikipedia page is representative.)
People have recently taken to Audible and social media to learn all about racism–how not to be racist; what racism is…it is commendable. However, we shouldn’t ignore the biological underpinnings of the current social reality. Genetic race across ethnic/national groups has largely been concluded to not exist.
For anyone who believes microbiology is more fundamental than sociology, the mass’ current approach cannot work. What ought to be addressed instead is gut reactions (likely generational) to differing phenotypes from our own within certain, crucial contexts. If these reactions are understood, we can learn to convert them into more compassionate responses.