While the idea of Discovery having an ever-listening computer initially seemed a little ominous to me, in contrasting it with HAL’s silent eavesdropping on his ship’s crew, I realized Zora might be headed down a different path. Zora’s story asks the audience to see her as a kind of anti- HAL 9000, as she speaks up as Burnham fills Saru in on the latest developments on Zora’s emotional growth. (Finally, the fact that I’ve seen 2001: A Space Odyssey more times than anyone really should has paid off!) This situation, one of external numbness and internal activity, plays havoc on the newfound sentience of Discovery’s computer Zora (Annabelle Wallis) in ways that immediately seem familiar. This rift is seemingly impenetrable, and more dangerous than any previously explored… and whatever “ate” the DOT is slowly closing in on Discovery itself. Reminiscent of Nagilum’s “hole in space,” the ship’s sensors pick up no data whatsoever, and there are no points of reference to navigate around the desolate expanse.Įven a robotic DOT drone sent out as a probe can only get a few thousand meters away from the ship before it begins to disintegrate. Upon entering the spatial tear, the crew unexpectedly find themselves in a completely featureless void. We are grateful to all adolescents, their parents, and teachers who participated in this research and to everyone who worked on this project and made it possible.In this week’s “Stormy Weather,” the USS Discovery crew explores a subspace rift left behind by the DMA, and finds themselves in uncharted - and unchartable - territory, as Zora’s newfound sentience calls to mind another famously-sentient computer from science fiction.Īs part of the continuing quest for more data about the dark matter anomaly, and who might be responsible for it - after last week revealed the DMA is not a naturally-occurring phenomenon - Discovery is sent to investigate a subspace rift left in its path. Additional funding for TRAILS was provided by the Dutch Ministry of Justice (WODC), the European Science Foundation (EuroSTRESS Project FP-006), Biobanking and Biomolecular Resources Research Infrastructure BBMRI-NL (CP 32), the participating universities, and Accare Center for Child and Adolescent Psychiatry. TRAILS has been financially supported by various grants from the Netherlands Organization for Scientific Research (NOW Medical Research Council Program Grant GB-MW 940-38-011, ZonMW Brainpower Grant 100-001-004, ZonMw Risk Behavior and Dependence Grant 60-68, ZonMw Culture and Health Grant 261-98-710, Social Sciences Council Medium-Sized Investment Grants GB-MaGW 480-01-006 and GB-MaGW 480-07-001, Social Sciences Council Project Grants GB-MaGW 452-04-314 and GB-MaGW 452-06-004, NWO Large-Sized Investment Grant 175.010.2003.005, NWO Longitudinal Survey and Panel Funding 481-08-013). Participating centers of TRAILS include various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in The Netherlands. This research is part of the Tracking Adolescents’ Individual Lives Survey (TRAILS). This study provides measured support for key predictions of the ACM and highlights important empirical issues and methodological challenges for future research. The four patterns were also differentially associated with aggressive/rule-breaking behavior and withdrawn/depressed behavior. The physiological profiles generally showed predicted associations with antecedent measures of familial and ecological conditions and life stress as expected, high- and low-responsivity patterns were found under both low-stress and high-stress family conditions. Measures of sympathetic, parasympathetic, and adrenocortical activation, reactivity to, and recovery from social–evaluative stress validated the four-pattern taxonomy of the ACM via latent profile analysis, though with some deviations from expected patterns. In this article, we tested some key predictions of the ACM in a longitudinal study of Dutch adolescent males (11–16 years old N = 351). The adaptive calibration model (ACM) is a theory of developmental programing focusing on calibration of stress response systems and associated life history strategies to local environmental conditions.
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