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Authentic livelihoods? Navigating authenticity and change in the Lake District cultural landscape
No full textCultural Landscape heritage designations imbue an unresolved tension between authenticity and change, which is uncatered for in UNESCO guidance and inadequately addressed in the academic literature. This leads to management dilemmas, and potential threats to the status of designations as conflicts over management play out in practice. In this paper we propose a particular interpretation of livelihood as heritage to redress this tension and to provide an operational framework for decision-making in Cultural Landscapes that directly addresses the unresolved questions inherent in Poulios' Living Heritage Approach. To do so we combine the principles of a Sustainable Rural Livelihoods Approach with the anthropology of work and value alongside the invocation of the Georgic ethic within the context of the Lake District World Heritage Site, UK. Through an ethnographic vignette approach, we explore how farmers and a major conservation landowner (The National Trust) negotiate (authentic) change in relation to the management of the farmed landscape. We argue that authentic changes should be interpreted as those which are mediated by the enactment and reproduction of local livelihood strategies, whilst conforming with vernacular value interpretations of work and betterment. We show, however, that the category of ‘local’ or ‘indigenous’ is not immutable and nor are the practices and interventions that are deemed acceptable. We caution, therefore, against renditions of local communities as being resistant to change and provide examples of how endogenous pivots toward environmental practices and tourism can be incorporated into an authentic livelihood strategy
Evaluating Learner Competency in GenAI-Enhanced Learning: A Framework for Process-Oriented Assessment of Human-AI Collaboration
No full textGenerative AI has created a fundamental crisis in higher education assessment, where traditional output-based evaluation cannot distinguish genuine learner competency from AI-assisted performance. This paper proposes a framework for process-oriented competency evaluation comprising three interconnected components: (1) Competency Model defining what to assess in AI-augmented learning; (2) Analytics Integration capturing processes where learning happens; (3) Actionable Guidelines providing practical tools for educators. Ethical principles are embedded within the framework to ensure responsible practice. Grounded in Self-Regulated Learning, Bloom's Taxonomy, and Learning Design theory, this framework
addresses, how authentic learner competency can be evaluated in GenAI-enhanced learning environments, bridging the adoption-to-actionability gap through theoretically grounded, and practically actionable foundations for responsible Generative AI integration that enhances rather than replaces human learning
Dairy Profit Monitor trends September 2024 through August 2025 102 farms, 12 months
Full text linkMonitoring the performance of your dairy business on a regular basis is important given the unpredictable nature of the dairy industry. This article shows the trends of 102 participating farms over a 12- months period from farms throughout New York that utilized the Cornell Dairy Profit Monitor (DPM). DPM is a tool used by farms in New York and the U.S. to track and monitor their dairies performance metrics. Included are graphs that show the comparison from September 2024 – August 2025 to the prior year trend averages. These graphs can be used to compare your farm’s metrics against the farms in this group over the last year.
Compared to the previous year: Milk per cow per day did not show a large difference, pounds of components produced averaged 0.2 pounds higher, feed conversion trended higher in all months, percent forage in the diet remained more constant due to growing conditions, and Net Milk Price before contracting showed an opposite trend
Agronomic and economic considerations for home-grown grains
No full textIn New York (N.Y.) and dairy regions with similar climates, interest in dairy farms producing a proportion of their own grains has varied over time but has always been present. Home-grown grains can be viewed as a strategy to control feed cost and inventory, buffer growing season variability through flexible forage or grain harvest, or benefit from economies of scale. While these are valid justifications, careful, farm-specific evaluation is needed to assess their true fit. With environmentally and economically efficient milk production as the primary goal of any dairy business, any discussion on diversification or adding to the dairy operation should center around how the change will advance sustainable milk production. The debate on home-grown grains largely takes place in regions where home-grown forages are the basis of environmentally and economically sustainable milk production. If adding grain production is going to be a net benefit, it cannot come at the expense of the forage system or other critical farm processes
Want Communication Help? Training on Strategic Approaches for Communication, Engagement, and Trust Building
No full textWant Communication Help? Training on Strategic Approaches for Communication, Engagement, and Trust Building. Session 3 - Best Practices for Risk Communication for Emergent Threats, 06-March-2026.
Session 3 of a 4-part seminar series led by Dr. Amelia Greiner Safi of the Cornell Public Health Program and Northeast Regional Center for Excellence in Vector-Borne Diseases. This session reviewed guidance for engagement, audience identification and assessment, content and messaging, and communication channels in the context of risk communication for emergent threats.
To cite this presentation, please use: Greiner Safi, A. Best Practices for Risk Communication for Emergent Threats. 06 March 2026. NEVBD Communication Support Series.
Please do not upload to an Artificial Intelligence tool or use without attribution.Northeast Regional Center for Excellence in Vector-Borne Diseases, Cooperative Agreement Number NU50CK000633 between the Centers for Disease Control and Prevention and Cornell University. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the USDA, CDC or the Department of Health and Human Services
Just Cause Dismissal Protections in Ithaca: The Case for an Inclusive Approach
No full text[Excerpt] International visitors are sometimes shocked by the way American laws fail to protect workers. They wonder how our employment law contains a doctrine of at-will employment that says we can be fired for a good reason, a bad reason or no reason at all. This is one of the many areas of worker rights in which the U.S. is unusual, and as the City of Ithacam oves toward replacing this with Just Cause protections, it will be watched across the country
Insights for Inclusive Upstream Engagement with Migrant Farmworkers in Agriculture: A case study from the US-Mexico border
No full textAmid climate change, plant biotechnologies are being developed to enhance the efficiency and sustainability of agricultural systems. However, their social and ethical implications remain underexplored through upstream engagement, which refers to the early engagement and involvement of stakeholders to shape research decisions. Using a case study from the U.S.-Mexico border, we reflect on the challenges and opportunities from conducting upstream engagement with migrant farmworkers. Tensions in language translation, issue framing, literacy, and tacit knowledge are particularly amplified when engaging with these kinds of communities, potentially shaping how participants interpret scientific information and express their views. Most participants reported concern that using gene editing on plants could increase social inequality, reinforcing the ethical imperative to engage overlooked stakeholders in agricultural research. We suggest that upstream engagement must be carefully designed to fit the lived realities of marginalized stakeholders to ensure their perspectives can meaningfully inform innovation.This work supported by the U.S. National Science Foundation, under Grant No. DBI-201967
Supplementary Tables: Intergenerational Epigenetic Changes Associated with Maternal Metritis Could Affect Calf Growth and Immune Capacity, JDS
No full textSupplemental Information for JDS Publication Under Review Titled: Intergenerational Epigenetic Changes Associated with Maternal Metritis Could Affect Calf Growth and Immune Capacity. Contains tables of candidate differentially methylated regions, descriptions of traits, and summary table of genes of interest.Supplementary tables for Intergenerational Epigenetic Changes Associated with Maternal Metritis Could Affect Calf Growth and Immune Capacity under review at Journal of Dairy Science
Economic effects of automated health monitoring based on sensors versus visual observation for dairy cows in early lactation
No full textThe objective of this study was to compare the cash flow of lactating Holstein cows randomized to health monitoring strategies that relied exclusively on automated health alerts or visual observation for selecting cows for clinical examination from 3 to 21 days in milk (DIM). Data from a randomized controlled trial was used to estimate total cash flow per cow and per slot up to 100 DIM. We expected that greater milk yield in early lactation for the group monitored with automation would result in greater cash flow than for the group including visual observation despite greater health monitoring and treatment costs. Lactating Holstein cows (n = 1,192) fitted with a neck-attached automated rumination time and physical activity monitoring system (Sensehub, Merck Animal Intelligence) and that had milk weights collected automatically at every milking (MM27BC, DeLaval) were randomly assigned to the visual observation (VO = 594) or automated health monitoring (AHM = 598) treatment. Cows were selected for clinical examination based on automated health alerts (i.e., health index score 20%) in the AHM treatment and exclusively based on visual observation of clinical signs of disease in the VO treatment. Health, milk yield, and herd exit outcomes, and prices for inputs and outputs were collected through 100 DIM. Cash flow per cow and per slot (unit of space occupied by a cow at a dairy) including income over feed costs, health monitoring and management costs, treatment costs, and replacement costs were estimated and compared using deterministic analysis with linear models and stochastic analysis. Regardless of the method of estimation for cows that remained in the herd, cows that exited the herd, or for all cows combined, cash flow differences from the deterministic analysis generally favored the AHM treatment. Likewise, the stochastic simulations supported the hypothesis that most of the time, the AHM treatment would result in positive cash flow compared with the VO treatment. Notably, the magnitude of the differences between treatment groups varied substantially based on the effects of treatments on herd performance outcomes, the herd exit dynamics, prices for influential inputs and outputs, and the methods used to estimate cash flow. Implementing a fresh cow health monitoring program that relied exclusively on automated monitoring systems alerts to select cows for clinical examinations was economically beneficial compared with a program that relied exclusively on visual observation to select cows for clinical examinations
Seismicity catalog from: Subduction of an oceanic plateau across southcentral Alaska: High-resolution seismicity
No full textPlease cite as:
Daly, K. A., Abers, G. A., Mann, M.E., Roecker, S., & Christensen, D.H. (2026), Seismicity catalog from: Subduction of an oceanic plateau across southcentral Alaska: High-resolution seismicity.[dataset] Cornell University Library eCommons Repository. https://doi.org/10.7298/7xc1-6z17These data are the final seismicity dataset from Daly et al., where we found: In southcentral Alaska, the Alaska-Aleutian Wadati-Benioff zone (WBZ) shows high seismicity rates west of 147°W. Further east, the Wrangell volcanic field (WVF) has some of the world's largest continental volcanoes but there is equivocal evidence for a WBZ. We deployed a dense seismometer array around the WVF between 2016 and 2018 and used the data to increase the number of detected earthquakes using an autodetection and location algorithm. One-dimensional velocity inversion and double-difference earthquake location further improve earthquake locations. Subcrustal earthquakes form a narrow band of dipping seismicity—a weak but clear WVF WBZ—which strikes parallel to the volcanic trend and dips highly oblique to plate motion. The WVF WBZ is continuous from the coast to a depth of 100 km beneath Mount Wrangell. Earthquakes shallower than 40 km are continuous between the two WBZs, indicating continuity of the subducting Yakutat terrane across the region. However, the earthquakes deeper than 40 km are offset by hundreds of kilometers, which may indicate a slab tear separating the Alaska–Aleutian WBZ from the WVF WBZ. Seismicity rates differ by over 2 orders of magnitude between the separate WBZs, despite the similar incoming plate, with the relatively seismically quiescent WBZ underlying the much more prolific WVF. Higher slab-surface temperatures beneath the WVF, due to flow around the slab edges and the oblique geometry, may lead to low seismicity rates within subducting crust, as seen in other warm slabs, but abundant water is still transported to subarc depths within the mantle wedge.National Science Foundation, awards EAR-1460291 and EAR-182944