The Bennachie Colony: A Nineteenth-Century Informal Community in Northeast Scotland

Oliver, Jeffry Monson; Armstrong, Jackson; Milek, Karen; Schofield, J. Edward; Vergunst, Jo; Brochard, Thomas; Gould, Aoife; Noble, Gordon

doi:10.1007/s10761-016-0336-7

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…They use a directed graph connected by a directed weighted arc. In this directed graph, the artificial neuron simulates a biological neuron, and the directed arc simulates the "axon-synapse-dendrite" connection [22,23]. The weight of the directed arc indicates the strength of the interaction between the two artificial neurons connected to each other.…”

Section: The Structure Of Artificial Neural Networkmentioning

confidence: 99%

Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Qiang

Sui

2023

Systems

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The evaluation of agricultural green ecological efficiency can reflect the capacity of agriculture for sustainable development and reduce the endogenous pollution caused by agricultural waste in order to alleviate the weakening of agricultural ecosystems. Taking the agricultural green economy as the research object, an evaluation index system based on the theories of green economic efficiency and economic growth for agricultural green ecological efficiency was constructed, and the impact mechanisms of specific indicators on agricultural green ecological efficiency were empirically explored. In addition, based on the data envelopment analysis (DEA) model, the overall agricultural green ecological efficiency of China from 2002 to 2021 was evaluated and the efficiency characteristics were analyzed from multiple perspectives. Then, the indicators of policy, finance, communication, society and other aspects were added in order to construct a comprehensive evaluation model of agricultural green ecological efficiency using a combination of DEA and a BP neural network, and the feasibility of the model was verified. The results indicate that the agricultural green ecological efficiency increased from 0.7340 in 2002 to 0.8205 in 2021, an increase of 11.78%. Additionally, the technological efficiency of China’s agricultural green ecological system did not show a very obvious trend of divergence. The results of the BP neural network were consistent with those obtained using DEA, and the overall evolution trend of the calculated BP neural network and DEA were mutually verified and integrated. The effectiveness and accuracy of the BP neural network was verified via a comparison with DEA.

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Section: The Structure Of Artificial Neural Networkmentioning

confidence: 99%

Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Qiang

Sui

2023

Systems

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“…The architecture of dwellings can include discussions on weather-proofing constructions or ‗keeping the weather outside', and how vernacular architecture creates comfortable spaces in spite of the weather and climate (Dahl, 2010;Pacheco-Torgal & Jalali, 2012). Materials such as turf roofs are chosen based on their characteristics protecting against rain and wind in harsh northern or arctic environments, and in Scotland 18 th and 19 th century houses would have up to 2 m thick walls to separate the warm interior from the cold exterior while being positioned to protect from the prevailing winds or anticipating them to create draughts where required (Arneborg, 2008;Dixon, 2002;Jim, 2017;Oliver et al, 2016). Construction was then also about harnessing anticipated weather conditions.…”

Section: Archaeologies Of Weathermentioning

confidence: 99%

Weather Landscapes and Archaeology: Material Weathering Practices and Tangible Climates

Petek-Sargeant,

J. Lane

2022

ASE

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Climate and climate change can be impenetrable statistical concepts and the sometimes hegemonic scientific narratives around them can make them seem the purview of specialists, while at the same time create an epistemic, geographic and temporal distance between the individual and possible future consequences. However, the climate has already changed and communities throughout the world have most closely experienced it through weather. Weather is the medium through which the statistical reality of climate is felt immediately, is re-socialised, given cultural meanings and functions, and through which long-term environmental knowledge is gathered. Communities build social institutions through which they make long-term weather and climate manageable. Moreover, these experiences are part of identity, local histories and landscapes, key themes that effective climate discussions need to include. Archaeology, with its broad audiences and histories of resilience, has the potential to be an effective tool in climate change messaging. Its focus on local narratives and the material outcomes of human experiences goes beyond the economic discussions surrounding climate change, making it a social issue. In this paper we discuss why weather needs to become more prominent in archaeological narratives and discuss the ways weather can be directly or indirectly included in archaeological analyses and interpretations. Although climate research has been prominent in archaeology, an explicit focus on weather has been almost completely absent. By highlighting weather-centred materialities and practices in the past on the East Africa coast at Kilwa Kisiwani, we show how experiences of weather shape daily life, the built environment and social networks and how it makes the consequences of climate change much more tangible. Archaeologies of weather offer the chance to make archaeology a key partner in projects addressing community values around climate and environment through tangible and relatable components. RÉSUMÉ.Le climat et le changement climatique sont étudiés à travers des concepts statistiques qui peuvent paraître impénétrables. Les récits scientifiques parfois hégémoniques qui les entourent peuvent aussi donner l'impression qu'ils sont l'apanage des spécialistes. Cela amène une distance épistémique, géographique et temporelle entre l'individu et les éventuelles conséquences futures du changement climatique. Pourtant, le climat a déjà changé et les communautés du monde entier en ont fait l'expérience par le biais de la météo. Cette dernière est le moyen par lequel la réalité statistique du climat est ressentie immédiatement, est resocialisée et se voit attribuer des significations et des fonctions culturelles. C'est aussi le moyen par lequel des connaissances environnementales à long terme peuvent être recueillies. Les communautés construisent des institutions sociales qui leur permettent de gérer leur relation au temps et au climat sur le long terme. Ces expériences font partie de l'identité des sociétés, de l'histoire locale et ...

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“…It is important to note other logistical challenges that may have to be overcome in order for an Open Archaeology approach to work. Some of these were encountered by myself, other university-based colleagues, and individuals among our community partners, the Bailies of Bennachie, during a collaborative project on the Bennachie Colony, in Aberdeenshire, Scotland (Oliver et al 2013, Oliver 2015, Oliver et al 2016, Armstrong et al 2017. For example, research-and activity-planning meetings, training sessions, archival research and archaeological fieldwork, post-excavation work, and dissemination activities, including copublication, all had to be scheduled to enable maximum community participation (Figure 2; see also Atalay 2012, p. 258).…”

Section: Citizen Science: the Nunalleq Project Alaskamentioning

confidence: 99%

Transdisciplinary Archaeology and the Future of Archaeological Practice: Citizen Science, Portable Science, Ethical Science

Milek¹

2018

Norwegian Archaeological Review

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The Bennachie Colony: A Nineteenth-Century Informal Community in Northeast Scotland

Cited by 7 publications

References 41 publications

Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Weather Landscapes and Archaeology: Material Weathering Practices and Tangible Climates

Transdisciplinary Archaeology and the Future of Archaeological Practice: Citizen Science, Portable Science, Ethical Science

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