Things are slowly returning to normal in the Sharknest, which reflects a rather disturbing linguistic slippage of "normal."
- Professor Sarat muses on the propriety of jail terms, using as examples two… apparent sociopaths. Professor Sarat is well known for his opposition to the death penalty — an opposition that I share because, having been inside the machinery short of and including death, I will not tinker with the machinery of death — which is all well and good. This short piece, however, fails to acknowledge two brontosaurii in the room, both of which are busy trampling the greenery (and leaving herbivore droppings everywhere).
First, and perhaps most obvious, the purple and orange-striped beast: If not prison, what? Does that alternative do a better job with "punishment" than does prison, is it equally (or more) administrable, and is it equally (or more) ethically acceptable in a context of imperfect human imposition of punishment? (That the death penalty fails all three of these inquiries is not coincidental.) This is the argumentation problem underlying most attacks on public institutions: There's seldom equally-rigorous consideration of potential substitutes — not even when the substitute is "we don't need it at all!" Life and policy and society are not binary Oxford-style debates…
Second, a bit better camouflaged, the mottled green-and-grey-and-brown beast: What is the objective of imposing adverse consequences upon those convicted of criminal offenses (leaving aside, for the moment, those guilty but not convicted or pardoned for no good reason)? If that objective is not uniform, how do we tailor what we do without undermining "adverse consequences for getting convicted of criminal offenses," especially when we've got imperfect humans involved in the "convictions"? (Don't even think about proposing hallucinating "artifical intelligence" as an alternative…) Whether under the classic "four distinct purposes" model underlying "modern" criminal jurisprudence or another rubric, the individual psychology of the offender inevitably would destroy uniformity, even coherence — and that's no way to win a struggle.
- In an entirely expected result of the initial hearing, the Army demonstrated that it cannot be trusted with aviation anywhere near civilian aircraft. Even moreso when Army aviation standards and culture are such that they can't tell when they are near civilian aircraft.
This is, in part, a problem with training methods. "Local area familiarization" should largely be handled through intense simulator sessions, especially when that interfaces with "daily life that isn't about the Army." That will not eliminate the need for at least some actual flights, but it should vastly reduce them — to the point at which they can be scheduled and routed to avoid "daily life" or, as in this instance, "needless death." The incentives for doing so, however, are minimized by both historical and cultural pressures, especially within the Army aviation community. (BTW, don't think the Marines, the Air Force, and the Navy are off the hook here — just ask any resident of the southern end of Whidbey Island, including the orcas, about that! Their pressures are different in detail and extent, albeit not in kind.)
- On this blawg, my few persistent readers have probably noticed over time that I try to apply scientific standards where they fit. (They don't fit in evaluating individual works in the arts…) But what are they? Is a free spirit of inquiry enough, or does it require something more? Do standards require adjustment, or is the problem not with the standards imposed on science but the standards imposed on scientists and their careers? Can I write a bunch of obvious rhetorical questions?
- It's not limited to "the sciences," either. History professors have similar problems, reinforced by watching government officials fall off the edge of the world (which is nonetheless round — eppur si muove, figli di puttana) based on fundamentally inaccurate and dishonest data collection (that doesn't even meet any need of the organization collecting the data).