Code-blending is the simultaneous expression of utterances using both a sign language and a spoken language. We expect that like code-switching, code-blending is linguistically constrained and thus we investigate two hypothesized constraints using an acceptability judgment task. Participants rated the acceptability of code-blended utterances designed to be consistent or inconsistent with these hypothesized constraints. We find strong support for the proposed constraint that each modality of code-blended utterances contributes content to a single proposition. We also find support for the proposed constraint that – at least for American Sign Language (ASL) and English – code-blended utterances make use of a single derivation which is realized using surface forms in the two languages, rather than two simultaneous derivations, one for each language. While this study was limited to ASL/English code-blending and further investigation is needed, we hope that this novel study will encourage future research comparing linguistic constraints on code-blending and code-switching.

The development of inhibitory control (IC) and working memory (WM) in preschool is linked to a multitude of cognitive, emotional, and social outcomes, including elementary school adjustment. Furthermore, there are both cognitive and socioemotional domains of IC and it is unclear if both are related to these outcomes in the same manner. Using a family study design, the present investigation examined preschoolers’ IC, WM and externalizing behavior problems, maternal depression and anxiety measured when the children were in preschool, and elementary school externalizing behaviors and child and family functioning. Families with two children between 2.5 and 5.5 years of age (n = 198; mean age = 3.88, SD = 1.04) completed online surveys and laboratory visits, as well as another online survey after the children entered elementary school. Both cognitive and emotional domains of preschool IC significantly predicted the externalizing and functioning aspects of adjustment in elementary school (but WM did not predict either). In addition, child age predicted functioning in elementary school, and maternal depression predicted externalizing in elementary school. These longitudinal results indicate that supporting both cognitive and emotional aspects of preschool IC can benefit adjustment in elementary school.

Eurasian watermilfoil (Myriophyllum spicatum L.) is an aquatic vascular plant that forms extensive dense beds in lakes. This invader competes with native plants, interferes with aquatic activities, and decreases riparian property values. In Canada, the use of aquatic herbicides is highly restricted. Environmental managers must therefore rely on physical methods such as hand pulling or benthic matting for control. Although these methods are not new, there has been little scientific investigation regarding their effectiveness and cost over multiple years. Benthic matting and hand pulling were used in Lac des Abénaquis (area: 1.2 km2) to control 3.6 ha of M. spicatum beds. Initiated by citizens in 2016, control procedures were scientifically studied in 2020 and 2021. Benthic fiberglass mats were deployed on dense M. spicatum patches for 10 wk. Isolated plants and patches <100 m2 were hand pulled by divers, and the harvested material surfaced via a suction hose or in hand-filled bags. By August 2021, all the M. spicatum patches had been eliminated, and only 560 widely scattered plants remained. Over the last 2 yr of control, hand pulling required 243 person-hours and removed 2,245 kg of biomass. The biomass brought to the surface was 2.4 times higher per person-hour with the suction system than with bags. The use of 1,000 m2 of benthic mats required 47 to 51 person-hours per summer season, including installation, removal, and maintenance. Intensive management (years 1 to 5) using benthic mats and hand pulling cost an estimated Can$185,000 (US$140,000) ha−1 of M. spicatum bed. Hand pulling of scattered individuals (years 6+), estimated at Can$20,000 (US$15,000) per summer, is essential to avoid reinfestation. An invasion of M. spicatum can successfully be managed in small lakes without herbicides, but control remains a costly and long-term endeavor.

Secularism—i.e., the separation between the state and religious institutions—is a fundamental characteristic of liberal democracies, yet support for secular arrangements varies significantly across Western countries. In Canada, such attitudinal divergences are observable at the regional level, with citizens from Quebec displaying higher levels of support for secularism than other Canadians. In this paper, we test three hypotheses to account for this regional discrepancy: religiosity, liberal values, and out-group prejudice. Using data from an online panel survey (n = 2,000), our findings suggest that support for secularism in Quebec is mostly explained by the province's lower baseline levels of religiosity, anticlerical feelings, and by its distinctive understanding of liberalism. These factors are likely to result from Quebec's unique religious and sociohistorical history. Results also suggest that while negative feelings toward religious minorities are positively correlated with support for secularism across the entire country, negative feelings toward ethnic minorities are associated with lower support for secularism in Quebec. These findings disprove the commonly held assumption according to which support for secularism is driven by ethnic prejudice in Quebec.

Given the growing use of Artificial intelligence (AI) and machine learning (ML) methods across all aspects of environmental sciences, it is imperative that we initiate a discussion about the ethical and responsible use of AI. In fact, much can be learned from other domains where AI was introduced, often with the best of intentions, yet often led to unintended societal consequences, such as hard coding racial bias in the criminal justice system or increasing economic inequality through the financial system. A common misconception is that the environmental sciences are immune to such unintended consequences when AI is being used, as most data come from observations, and AI algorithms are based on mathematical formulas, which are often seen as objective. In this article, we argue the opposite can be the case. Using specific examples, we demonstrate many ways in which the use of AI can introduce similar consequences in the environmental sciences. This article will stimulate discussion and research efforts in this direction. As a community, we should avoid repeating any foreseeable mistakes made in other domains through the introduction of AI. In fact, with proper precautions, AI can be a great tool to help reduce climate and environmental injustice. We primarily focus on weather and climate examples but the conclusions apply broadly across the environmental sciences.

A cognitive-behavioral guided self-help conducted by lay providers (CBT-GSH-LP) had been shown to be effective in treating anxiety and may help facilitate access to treatment. The first objective of this study was to assess the acceptability the CBT-GSH-LP for the Generalised Anxiety Disorder in adults aged 60 and over. Its acceptability was compared to that of the same treatment conducted by a psychotherapist (CBT- GSH-PSY) and to that of a face-to-face cognitive behavioral therapy with a psychotherapist (CBT- PSY). The second objective was to assess the preference of the participants for these treatment modalities. As a secondary objective, variables potentially associated with acceptability or preference were explored, as well as reported reasons for treatment preference. Participants were recruited in community centers and private residences. They had to complete a sociodemographic questionnaire, read descriptions of the three treatments, and complete the Treatment Evaluation Inventory for each one, then to place those treatment in order of preference as well as indicating the reason for their preferred treatment. ANOVAs were performed to identify differences in acceptability scores between the three treatment modalities and proportions were calculated for preferred treatment and reasons associated. CBT-GSH-LP was considered moderately acceptable by participants (N = 116; mean age = 70.5 years), although significantly less acceptable than the other two treatment modalities. In addition, the proportion of participants who found CBT-GSH-LP to be at least moderately acceptable was high (59,3%), although lower than that of the other two treatment modalities (CBT-GSH-PSY: 85,8%; CBT-PSY: 91,2%). Consequently, the preferred treatment of participants was CBT-PSY followed by CBT-GSH-PSY, then CBT-GSH-LP. Among participants preferring CBT-GSH-LP, its long-lasting effect, ease of access, training of the therapist, required patient involvement, and autonomy afforded by treatment were the top reasons. Regarding characteristics, the results show that single and widowed older adults considered CBT-GSH-LP more acceptable than married, divorced, or separated people. Thus, although it is not the preferred treatment modality for older adults, CBT-GSH-LP is acceptable and would benefit from being better known and used for generalized anxiety disorder.

Farmland investments have attracted numerous entrepreneurs and companies to Africa in the past two decades. However, acquiring, retaining, and exploiting large-scale landholdings is more complicated than it seems. Investors need to persuade governments and populations of their anticipated benefits and limit dissenting voices when they emerge. Focusing on a contested land project in Senegal, Gagné develops the concept of “repertoires of control” to analyze the different performances of power that companies deploy to assert and legitimize their land claims. She argues that to survive, companies must continually adapt these performances to changes in the political environment of their host countries.