This article examines how linguistics instructors can invoke the concept of impact in preparing students for a career, arguing that this way of thinking underscores the value of identifying and articulating transferable skills in engaging with community to pursue meaningful challenges. Drawing on initiatives in the UK and US, the authors present models of embedding partnership building, applied projects, and reflective practices into teaching, from an Applied Sociolinguistics module to scalable interventions for classrooms and beyond. Finally, reframing career preparation as critical engagement with capitalism, the article explores how this lens brings focus to choicefulness in careers and students’ capacity to effect change through work.

We present 29 successfully recovered Civ time lags in Active Galactic Nuclei from the complete Dark Energy Survey Reverberation Mapping campaign. The AGN in this sample span a redshift range of $1.9\lt z\lt 3.5$. We successfully measure the velocity dispersion from the Civ spectral linewidth for 25 of these 29 sources, and use these to calculate new high-redshift black hole mass estimates, finding masses between 0.8 and 1.3 billion solar masses. We also identify a selection effect due to the duration of the survey that can impact the radius-luminosity relation derived from this and other (high-redshift) data. This paper represents the culmination of the OzDES Civ campaign.

Over the last decade, the Australian Dark Energy (OzDES) collaboration has used Reverberation Mapping to measure the masses of high redshift supermassive black holes. Here we present the final review and analysis of this OzDES reverberation mapping campaign. These observations use $6-7$ years of photometric and spectroscopic observations of 735 Active Galactic Nuclei (AGN) in the redshift range $z\in [0.13, 3.85]$ and bolometric luminosity range $\log_{10}(L_{\mathrm{bol}})\in [44.3, 47.5] \; \mathrm{erg/s}$. Both photometry and spectra are observed in visible wavelengths, allowing for the physical scale of the AGN broad line region to be estimated from reverberations of the H$\beta$, MgII and CIV emission lines. We successfully use reverberation mapping to constrain the masses of 62 super-massive black holes, and combine with existing data to fit a power law to the lag-luminosity relation for the H$\beta$ and MgII lines with a scatter of $\sim0.25$ dex, the tightest yet identified, fit specifically for consistency with high redshift AGN. We fit a similarly constrained relation for CIV, resolving a tension with the low luminosity literature AGN by accounting for selection effects arising from finite survey length. We also examine the impact of emission line width and luminosity (related to accretion rate) in reducing the scatter of these scaling relationships and find no significant improvement over the lag-only approach for any of the three lines. Using these relations, we further estimate the masses and accretion rates of 246 AGN with single epoch methods. We also use these relations to estimate the relative sizes of the H$\beta$, MgII and CIV emitting regions, and find evidence that the MgII emission may occur further out than H$\beta$. In short, we provide a comprehensive benchmark of high redshift AGN reverberation mapping at the close of this most recent generation of surveys, including light curves, time-delays, and a set of significantly improved radius-luminosity relations for use with high-redshift populations.

All linguistic research has the potential to reproduce or challenge racial notions.

—Linguistic Society of America Statement on Race (2019)

The LSA Statement on Race stems from a larger conversation around undertheorized treatment of race and ethnicity in linguistics research and practice. In this commentary, we define racial identity and ethnicity and explain their relevance for linguistic research. We discuss considerations that linguistic researchers should take prior to research, during study design, and following research, and we offer specific recommendations when soliciting or using race and ethnicity data. These recommendations aim to help researchers avoid social harm, ensure ethical compliance and research integrity, and improve descriptive accuracy, especially for undersampled groups, by balancing research transparency with generalizability. We consider issues germane to collecting self-disclosures of ethnicity and racial identity in a range of study types spanning several subfields of linguistics. We give concrete examples of questions that may arise in planning studies in computational and corpus-based linguistics, formal linguistics, experimental linguistics, and qualitative linguistics. We speak to ethical considerations, including the importance of using locally constructed labels, analyst positionality, and respect for communities. Our goals are to provide linguistic researchers with a firmer basis for conceptualizing racial identity and ethnicity particularly as pertains to linguistics, and to supply a guide that aids linguists in reflecting on their own study design, positionality, and responsibility to participants and communities.

The Radio Neutrino Observatory-Greenland (RNO-G, at Summit Station) experiment comprises an extensive fat-dipole antenna array deployed into ice boreholes over an eventual area of approximately 35 km2. Since the RNO-G experimental sensitivity depends on the radio-frequency properties of the firn, which are known to vary laterally on sub-km distance scales and vertically on sub-meter distance scales, a technique for quickly extracting information on firn ice properties with depth ($n(z)$) during drilling and deployment is desirable. Given that a dipole’s resonant wavelength is fixed by geometry, the resonant frequency $f_{res}$ (measured as an S-parameter reflection coefficient [‘$S_{11}$’] minimum) scales inversely with the local refractive index, allowing a translation of a depth-dependent $S_{11}$(z) profile into $n(z)$. $S_{11}$(z) data were initially taken in August 2024 using a dipole lowered into a newly drilled 98 ± 1 mm diameter, 350 m deep borehole at Summit Station, Greenland, approximately 1 km from the site of the original GISP-2 core; improved measurements were subsequently made in May 2025. We conclude that $S_{11}$(z) data can be used to estimate $n(z)$, on 50 cm vertical scales, at the per cent level of accuracy required by experiments such as RN0-G.

Fences are increasingly fragmenting landscapes and curtailing the movement of terrestrial wildlife. In arid and semi-arid ecosystems, where herbivores rely on movement to access patchily distributed resources, fences may cause behavioural changes with consequences for energy balance and fitness. Here, we investigate the fine-scale behavioural responses of the highly mobile springbok antelope (Antidorcas marsupialis) to encounters with a veterinary cordon fence in northern Namibia. Using supervised machine learning on tri-axial accelerometer data from collared individuals, we trained a classifier capable of identifying 12 behavioural categories with up to 91% accuracy. Applying this model to over 29,000 accelerometer records from eight free-ranging springbok, we examined behaviour in relation to fence encounters. We found significant changes in behaviour in response to fences, which depended on whether the fence was successfully crossed or not. Fence crossings were associated with shifts from grazing to browsing during crossings, as well as increased walking during and after crossings, suggesting altered foraging and increased movement. Behavioural changes were less pronounced in the case of non-crossing encounters. Our results show how accelerometry can reveal behavioural responses to anthropogenic barriers and emphasise the importance of maintaining ecological connectivity for migratory ungulates.

Specialised forms of social cognition enable primates to manage the stresses of group living by allowing for flexible and intentional communication. This is used to increase the predictability of conspecifics’ behaviour for both signallers and receivers. Intentional communication helps to overcome the stimulus-driven processing that may occur due to stress, enhancing attention allocation in receivers.

eSource – particularly EHR-to-EDC – is an emerging paradigm in clinical research that enables automated transfer of electronic health record (EHR) data into electronic data capture (EDC) systems, with the potential to reduce site burden, improve data quality and accelerate oncology clinical trial workflows. However, widespread implementation remains limited due to technical, regulatory and operational barriers. To address these challenges, the European Institute for Innovation through Health Data (i~HD) launched the eSource Scale-Up Task Force in 2024. This multi-stakeholder initiative brings together leading oncology centres and pharmaceutical sponsors to establish a consensus-driven roadmap for eSource adoption. Central to this effort are three foundational resources: readiness criteria for early adopters, a performance indicator framework for monitoring success and an operational playbook to guide implementation. This article provides a structured overview of the Task Force’s objectives, collaborative model and outputs, with specific attention to its focus on interoperability, regulatory alignment and real-world validation. While initially developed for oncology, the Task Force’s framework is applicable across therapeutic areas characterized by data-intensive workflows.

Distinguishing early domesticates from their wild progenitors presents a significant obstacle for understanding human-mediated effects in the past. The origin of dogs is particularly controversial because potential early dog remains often lack corroborating evidence that can provide secure links between proposed dog remains and human activity. The Tumat Puppies, two permafrost-preserved Late Pleistocene canids, have been hypothesized to have been littermates and early domesticates due to a physical association with putatively butchered mammoth bones. Through a combination of osteometry, stable isotope analysis, plant macrofossil analysis, and genomic and metagenomic analyses, this study exploits the unique properties of the naturally mummified Tumat Puppies to examine their familial relationship and to determine whether dietary information links them to human activities. The multifaceted analysis reveals that the 14,965–14,046 cal yr BP Tumat Puppies were littermates who inhabited a dry and relatively mild environment with heterogeneous vegetation and consumed a diverse diet, including woolly rhinoceros in their final days. However, because there is no evidence of mammoth consumption, these data do not establish a link between the canids and ancient humans.