Mobbing is a widespread, vocally coordinated behaviour where species approach and harass a threat. The noisy miner (Manorina melanocephala) is a notorious native Australian honeyeater, well-known for its hyperaggressive mobbing. Numerous studies have identified negative impacts of their mobbing behaviour, highlighting the exclusion of competitors from colony areas and the resulting loss of woodland-bird biodiversity. Despite this, few studies have investigated mobbing itself, and our understanding of the factors which influence its expression remains limited. Here, we use a field-based playback experiment to investigate whether mobbing responses vary in relation to colony borders and caller familiarity. Noisy miners were more likely to respond, reacted more quickly and responded more strongly to mobbing calls broadcast inside as opposed to outside the colony. These behavioural differences likely arise from variation in the relative costs and benefits of responding. When noisy miners did mob outside the colony, more individuals joined in response to unfamiliar as opposed to familiar callers. Our results reveal that noisy miner mobbing may not be as indiscriminate as often assumed, with caller familiarity and location influencing this behaviour. We suggest there are benefits to greater consideration of the factors impacting noisy miner mobbing behaviour.

This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artifcial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of epistemological trade-offs with it. The basis of the technology becomes the basis of what it finds. There are correlations between questions that designers face in sampling and gathering data that is rich with context, and those that large-scale machine learning faces in how it approaches the rich context and subjectivity within its training data. AI, however, processes enormous amounts of data and produces models that can be explored. This makes its form of pragmatic inquiry that is amenable to optimisation. Finally, the paper explores implications for education that stem from how we apply AI to pedagogy and explanation, suggesting that the availability of AI-generated explanations and materials may also push pedagogy in directions of pragmatism: the evidence that explanations are effective may precede explorations of why they should be.

Background: The involvement of people with lived experience (LEX) workers in the development, design, and delivery of integrated health services seeks to improve service user engagement and health outcomes and reduce healthcare gaps. Yet, LEX workers report feeling undervalued and having limited influence on service delivery. There is a need for systematic improvements in how LEX workforces are engaged and supported to ensure the LEX workforce can fully contribute to integrated systems of care.

Objective: This study aimed to operationalize the Consolidated Framework for Implementation Research (CFIR) using a rigorous scoping review methodology and co‐creation process, so it could be used by health services seeking to build and strengthen their LEX workforce.

Search Strategy: A systematic literature search of four databases was undertaken to identify peer‐reviewed studies published between 2016 and 2022 providing evidence of the inclusion of LEX workers in direct health service provision.

Data Extraction and Synthesis: A descriptive‐analytical method was used to map current evidence of LEX workers onto the CFIR. Then, co‐creation sessions with LEX workers (n = 4) and their counterparts—nonpeer workers (n = 2)—further clarified the structural policies and strategies that allow people with LEX to actively participate in the provision and enhancement of integrated health service delivery.

Main Results: Essential components underpinning the successful integration of LEX roles included: the capacity to engage in a co‐creation process with individuals with LEX before the implementation of the role or intervention; and enhanced representation of LEX across organizational structures.

Discussion and Conclusion: The adapted CFIR for LEX workers (CFIR‐LEX) that was developed as a result of this work clarifies contextual components that support the successful integration of LEX roles into the development, design, and delivery of integrated health services. Further work must be done to operationalize the framework in a local context and to better understand the ongoing application of the framework in a health setting.

Patient or Public Contribution: People with LEX were involved in the operationalization of the CFIR, including contributing their expertise to the domain adaptations that were relevant to the LEX workforce.

Behavioural thermoregulation by ectotherms is an important mechanism for maintaining body temperatures to optimise physiological performance. Experimental studies suggest that nocturnal basking by Krefft’s river turtles (Emydura macquarii krefftii) in the tropics may allow them to avoid high water temperatures, however, this hypothesis has yet to be tested in the field. In this study, we examined the influence of environmental temperature on seasonal and diel patterns of basking in E. m. krefftii in tropical north Queensland, Australia. Wildlife cameras were used to document turtle basking events for seven consecutive days and nights for each month over a year (April 2020–March 2021). Air and water temperatures were recorded simultaneously using temperature loggers. We used a negative binomial mixed effects model to compare mean basking durations (min) occurring among four environmental temperature categories based on population thermal preference (26 ◦C): 1) air temperature above and water temperature below preferred temperature; 2) air temperature below and water temperature above preferred temperature; 3) air and water temperatures both above preferred temperature; and 4) air and water temperatures both below preferred temperature. Basking behaviour was influenced significantly by the relationship between air and water temperature. During the day, turtles spent significantly less time basking when both air and water temperatures were above their preferred temperatures. Conversely, at night, turtles spent significantly more time basking when water temperatures were warm and air temperatures were cool relative to their preferred temperature. This study adds to the growing body of work indicating pronounced heat avoidance as a thermoregulatory strategy among tropical reptile populations.