Undocumented status impedes immigrants’ workplace claims to legal rights and better treatment. But what happens when they obtain lawful permanent residency – does the reluctance to make claims in the workplace change? If so, how? Drawing on timeline interviews, I examine changes in the relational legal consciousness and reported workplace claims-making of 98 formerly undocumented Latino immigrants. Most respondents reported increased willingness to engage in, and follow through with, workplace claims. However, gendered differences emerged. Men’s claims largely revolved around wage negotiations, moving to a better paying position, and enforcement of legal rights with an attached monetary value. They were also more likely to frame claims as legal rights. In contrast, women’s claims largely revolved around better work treatment, access to job benefits, and workplace accommodations. They were also more likely to frame claims as moral rights. I explain these outcomes as a function of three relational mechanisms: lawful status being understood relative to experiences being undocumented; gendering in the legalization process; and social ties promoting gendered expectations of lawful permanent residency. My findings highlight the importance of gendered differences in relational legal consciousness and how lived reference points (e.g., prior undocumented experience) inform how legal consciousness changes over time.

Kant’s conception of remorse has received little discussion in the literature. I argue that he thinks we ought to experience remorse for both retributivist and forward-looking reasons. This account casts helpful light on his ideas of conversion and the descent into the hell of self-cognition. But while he prescribes a heartbreakingly painful experience of remorse, he acknowledges that excess remorse can threaten rational agency through distraction and suicide, and this raises questions about whether actual human beings ought to cultivate their consciences in such a way as to experience remorse in the way he conceives it.

This study examines the effects of task complexity on second language (L2) pronunciation accuracy and global pronunciation measures in pronunciation-unfocused tasks and assesses the relationship between acoustic and listener-based pronunciation measures. Eighty-two Catalan/Spanish learners of English performed simple and complex versions of a problem-solving monologic speaking task, for which the oral stops /p, t, k/ and vowel contrasts /iː/-/ɪ/ and /æ/-/ᴧ/ were embedded in the lexical items used to perform the task. Pronunciation accuracy was gauged through acoustic measurements of laryngeal timing (voice onset time), vowel contrastiveness and nativelikeness (Mahalanobis distances), and native speakers’ ratings of comprehensibility and accentedness. Results revealed detrimental effects of increased task complexity on the productions of oral stops and speech comprehensibility and accentedness; however, no consistent task complexity effects were found on vowel accuracy. The analysis also revealed an association between segmental accuracy and global dimensions of L2 speech.

I reconstruct the historical performance of individual portfolios owned by Parisian investors during the French Belle-Epoque, which was characterized by a massive concentration of wealth. Using the value of inherited bequests as a proxy for ex ante wealth, I show that wealthier investors not only exhibited greater betas and thus benefited from the bull market, but also captured positive alphas, which translated into greater Sharpe ratios. Their performance was enhanced by diversification tilted toward equity and foreign assets. I identify heterogeneity in returns as a significant driver of the rise of wealth inequalities during the Belle-Epoque.

The complex tasks of air traffic control (ATC) and the various factors affecting its operation have shed light on the need to build a model to predict conflict detection and resolution (CDR) performance within a traffic situation. This study aimed at developing a fuzzy-hybrid framework for quantifying various aspects in ATC consisting of the software, hardware, environment, liveware and organisation (i.e. the SHELL model) to predict CDR performance. The proposed fuzzy-hybrid SHELL framework in this study was tested using metadata from 10 prior studies in ATC. The results showed a highly accurate prediction, as indicated by the RMSE and MAPE values of 0⋅09 and 5⋅36%, respectively, indicating a high consistency of 90⋅92% for predicting the CDR performance. This framework offers a promising approach for Air Navigation Service Providers (ANSPs) to maintain air traffic safety and improve ATC operations efficiency.