Andrew F. Smith

White progressives in the United States are currently experiencing two profound reckonings that typically are assumed to be unrelated. On one hand, the Dobbs verdict overturned the assumption that the right to choose with respect to abortion is too socially entrenched, juridically settled, or politically sacred to be denied. On the other hand, climatological conditions for possibly having a comfortable existence are increasingly under threat in locales in which residents have come to expect to enjoy secure lives and livelihoods. This article highlights what Indigenous communities across the United States already know well. Namely, threats to reproductive freedom and climate crisis are neither new nor separable. Both phenomena have common colonial roots that continue to proliferate, each a result of the disruption and destruction of Indigenous kinship assemblages. Indeed, in aiming to remediate their current reckonings, white progressives routinely (if unthinkingly) support forms of settler-state violence that perpetuate reproductive and climate injustice in Indigenous communities. The authors appeal to white progressives, notably including white feminists, to embrace the proposition that their reckonings cannot be properly understood nor successfully addressed without prioritizing Indigenous futurity. They call for centering forms of Indigenous feminist praxis that facilitate robust Indigenous coalitions of anti-colonial resistance.

Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly if they are presented interleaved with occurrences of other words, although this effect is relatively weak. We present additional analyses of participants’ trial-by-trial behavior showing that participants make use of various cross-situational learning strategies, depending on the difficulty of the word-learning task. When referential uncertainty is low, participants generally apply a rigorous eliminative approach to cross-situational learning. When referential uncertainty is high, or exposures to different words are interleaved, participants apply a frequentist approximation to this eliminative approach. We further suggest that these two ways of exploiting cross-situational information reside on a continuum of learning strategies, underpinned by a single simple associative learning mechanism

One important difference between existing accounts of protolanguage lies in their assumptions on the semantic complexity of protolinguistic utterances. I bring evidence about the nature of linguistic communication to bear on the plausibility of these assumptions, and show that communication is fundamentally inferential and characterised by semantic uncertainty. This not only allows individuals to maintain variation in linguistic representation, but also imposes a selection pressure that meanings be reconstructible from context. I argue that protolanguage utterances had varying degrees of semantic complexity, and developed into complex language gradually, through the same processes of re-analysis and analogy which still underpin continual change in modern languages.