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Journal articles on the topic 'Multi-Level framework'

Author: Grafiati

Published: 30 November 2024

Last updated: 31 July 2025

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1

Lenka, Sambit, Vinit Parida, David Rönnberg Sjödin, and Joakim Wincent. "Towards a multi-level servitization framework." International Journal of Operations & Production Management 38, no. 3 (2018): 810–27. http://dx.doi.org/10.1108/ijopm-09-2016-0542.

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Purpose The dominant-view within servitization literature presupposes a progressive transition from product to service orientation. In reality, however, many manufacturing firms maintain both product and service orientations throughout their servitization journey. Using the theoretical lens of organizational ambivalence, the purpose of this paper is to explore the triggers, manifestation and consequences of these conflicting orientations. Design/methodology/approach A multiple case study method was used to analyze five large manufacturing firms that were engaged in servitization. Semi-structur

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2

Jia, Xinyu, and Costas Papadimitriou. "Hierarchical Bayesian learning framework for multi-level modeling using multi-level data." Mechanical Systems and Signal Processing 179 (November 2022): 109179. http://dx.doi.org/10.1016/j.ymssp.2022.109179.

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Morland, Kate V., Dermot Breslin, and Fionn Stevenson. "Development of a multi-level learning framework." Learning Organization 26, no. 1 (2019): 78–96. http://dx.doi.org/10.1108/tlo-04-2018-0080.

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Purpose This paper aims to examine multiple learning cycles across a UK housebuilder organization following changes made to their quality management routine at the organizational level, through to subsequent understanding and enactment at the level of the individuals involved. Design/methodology/approach This study uses a qualitative case study methodology based on an analysis of six-weeks of participant observation, semi-structured ethnographic interviews and documentation within three of the organization’s regional offices. Through an abductive process, it draws on gathered data and extant l

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Adobor, Henry. "Supply chain resilience: a multi-level framework." International Journal of Logistics Research and Applications 22, no. 6 (2018): 533–56. http://dx.doi.org/10.1080/13675567.2018.1551483.

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5

Dov, Zohar. "Safety climate and beyond: A multi-level multi-climate framework." Safety Science 46, no. 3 (2008): 376–87. http://dx.doi.org/10.1016/j.ssci.2007.03.006.

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Gupta, Divyansh, Bruno Artacho, and Andreas Savakis. "HandyPose: Multi-level framework for hand pose estimation." Pattern Recognition 128 (August 2022): 108674. http://dx.doi.org/10.1016/j.patcog.2022.108674.

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Liu, Zhongqiang, Farrokh Nadim, Alexander Garcia-Aristizabal, Arnaud Mignan, Kevin Fleming, and Byron Quan Luna. "A three-level framework for multi-risk assessment." Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 9, no. 2 (2015): 59–74. http://dx.doi.org/10.1080/17499518.2015.1041989.

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Bélanger, France, Mary Beth Watson-Manheim, and Bret R. Swan. "A multi-level socio-technical systems telecommuting framework." Behaviour & Information Technology 32, no. 12 (2013): 1257–79. http://dx.doi.org/10.1080/0144929x.2012.705894.

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9

Palanski, Michael E., and Francis J. Yammarino. "Integrity and leadership: A multi-level conceptual framework." Leadership Quarterly 20, no. 3 (2009): 405–20. http://dx.doi.org/10.1016/j.leaqua.2009.03.008.

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10

Qu, Wen Guang, Zhiyong Yang, and Zhongming Wang. "Multi-level framework of open source software adoption." Journal of Business Research 64, no. 9 (2011): 997–1003. http://dx.doi.org/10.1016/j.jbusres.2010.11.023.

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Khamparia, Aditya, Sagar Pande, Deepak Gupta, Ashish Khanna, and Arun Kumar Sangaiah. "Multi-level framework for anomaly detection in social networking." Library Hi Tech 38, no. 2 (2020): 350–66. http://dx.doi.org/10.1108/lht-01-2019-0023.

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Purpose The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN). Design/methodology/approach Author first reviewed the related work, and then, the research model designed was explained. Furthermore, the details regarding Levels 1 and 2 were narrated. Findings By using the proposed technique, FScore obtained for Twitter and Facebook data set was 96.22 and 94.63, respectively. Research limitations/implications Four data sets were used for the experiment and the acquired outcomes demonstrate enhan

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Wang, Zhiwei, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, and Zitao Liu. "Learning Multi-Level Dependencies for Robust Word Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9250–57. http://dx.doi.org/10.1609/aaai.v34i05.6463.

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Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken with the presence of noises. In this paper, we introduce a robust word recognition framework that captures multi-level sequential dependencies in noised sentences. The proposed framework employs a sequence-to-sequence model over characters of each word, whose output is given to a word-level bi-directional recurrent neural network. We conduct extensive experiments to verify the effectiveness of the framework. The res

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Tarique, Ibraiz, and Randall Schuler. "A multi-level framework for understanding global talent management systems for high talent expatriates within and across subsidiaries of MNEs." Journal of Global Mobility 6, no. 1 (2018): 79–101. http://dx.doi.org/10.1108/jgm-07-2017-0026.

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Purpose Researchers and practitioners are interested in developing frameworks that can improve the understanding of the emerging field of global talent management (GTM) within and across the subsidiaries of multinational enterprises (MNEs). A few studies have proposed such frameworks but only implicitly include constructs at different levels of analysis. This paper is a step toward bridging the gap. Grounded in multi-level theory, international human resources management (IHRM) frameworks, and the ability-motivation-opportunity model, the purpose of this paper is to develop a multi-level frame

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SUN, Cheng-Jie, Xiao-Long WANG, Lei LIN, and Yuan-Chao LIU. "A Multi-level Disambiguation Framework for Gene Name Normalization." Acta Automatica Sinica 35, no. 2 (2009): 193–97. http://dx.doi.org/10.3724/sp.j.1004.2009.00193.

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15

Nishii, Lisa H., and Hannes Leroy. "A Multi-Level Framework of Inclusive Leadership in Organizations." Group & Organization Management 47, no. 4 (2022): 683–722. http://dx.doi.org/10.1177/10596011221111505.

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16

Operti, Elisa, and Amit Kumar. "Network Structure And Regional Innovation: A Multi-Level Framework." Academy of Management Proceedings 2021, no. 1 (2021): 15868. http://dx.doi.org/10.5465/ambpp.2021.15868abstract.

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17

Durugbo, Christopher. "Collaborative networks: a systematic review and multi-level framework." International Journal of Production Research 54, no. 12 (2015): 3749–76. http://dx.doi.org/10.1080/00207543.2015.1122249.

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18

Cheung, W. M., and Y. C. Cheng. "A multi‐level framework for self‐management in school." International Journal of Educational Management 10, no. 1 (1996): 17–29. http://dx.doi.org/10.1108/09513549610105335.

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19

Hur, Taeho, and Sungyoung Lee. "Multi-Level Fusion Activity Recognition Framework using Smart Devices." Journal of KIISE 45, no. 9 (2018): 950–56. http://dx.doi.org/10.5626/jok.2018.45.9.950.

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20

Warleigh, Alex. "History repeating? Framework theory and Europe's multi‐level confederation." Journal of European Integration 22, no. 2 (2000): 173–200. http://dx.doi.org/10.1080/07036330008429084.

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21

SUN, Cheng-Jie, Xiao-Long WANG, Lei LIN, and Yuan-Chao LIU. "A Multi-level Disambiguation Framework for Gene Name Normalization." Acta Automatica Sinica 35, no. 2 (2009): 193–97. http://dx.doi.org/10.1016/s1874-1029(08)60073-7.

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22

Leung Pah Hang, Melissa Yuling, Elias Martinez-Hernandez, Matthew Leach, and Aidong Yang. "Towards a coherent multi-level framework for resource accounting." Journal of Cleaner Production 125 (July 2016): 204–15. http://dx.doi.org/10.1016/j.jclepro.2016.03.031.

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23

Braunstein, Laura Martin, James J. Gross, and Kevin N. Ochsner. "Explicit and implicit emotion regulation: a multi-level framework." Social Cognitive and Affective Neuroscience 12, no. 10 (2017): 1545–57. http://dx.doi.org/10.1093/scan/nsx096.

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24

Omidi, Mahdi, Qingfei Min, Ali Omidi, and Shaofeng Liu. "Multi-level analysis framework for reviewing IDT-based studies." Cogent Business & Management 4, no. 1 (2017): 1339338. http://dx.doi.org/10.1080/23311975.2017.1339338.

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Liang, Jiongqian, Saket Gurukar, and Srinivasan Parthasarathy. "MILE: A Multi-Level Framework for Scalable Graph Embedding." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 361–72. http://dx.doi.org/10.1609/icwsm.v15i1.18067.

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Recently there has been a surge of interest in designing graph embedding methods. Few, if any, can scale to a large-sized graph with millions of nodes due to both computational complexity and memory requirements. In this paper, we relax this limitation by introducing the MultI-Level Embedding (MILE) framework – a generic methodology allowing contemporary graph embedding methods to scale to large graphs. MILE repeatedly coarsens the graph into smaller ones using a hybrid matching technique to maintain the backbone structure of the graph. It then applies existing embedding methods on the coarses

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Sadeghi, Payam, Morad Benyoucef, and Craig E. Kuziemsky. "A mashup based framework for multi level healthcare interoperability." Information Systems Frontiers 14, no. 1 (2011): 57–72. http://dx.doi.org/10.1007/s10796-011-9306-0.

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27

Michalski, Joseph. "An Integrated, Multi-Level Approach to Interpersonal Aggression and Family Violence." Athens Journal of Social Sciences 11, no. 2 (2024): 65–94. http://dx.doi.org/10.30958/ajss.11-2-1.

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The study of interpersonal aggression has been carried out for the most part in separate spheres by experts from an array of academic disciplines. To advance a deeper understanding of these issues, however, requires a more conciliatory and interdisciplinary approach. The article offers just such an integrated approach, using a multi-level heuristic framework that has direct parallels with ecological modeling. In addition, the approach expands the analytic focus to reflect different aspects of complex human behavior, which include: 1) the behavioral investment framework, or the bio-psychologica

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28

van Houten, Pieter. "Multi-Level Relations in Political Parties." Party Politics 15, no. 2 (2009): 137–56. http://dx.doi.org/10.1177/1354068808099978.

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Most political parties operate on several territorial levels, but we have only limited theoretical understanding of multi-level party dynamics. This article presents a delegation framework for studying the interaction between the national leadership and regional branches in state-wide parties. Assuming a principal—agent relationship, the national leadership can obtain benefits from delegating tasks to a regional branch, but also faces possible costs in doing this. The rules and conventions regulating the multi-level interaction in parties are possible mechanisms by which to control the actions

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29

de Bruin, Anne. "Multi-Level Entrepreneurship in the Creative Industries." International Journal of Entrepreneurship and Innovation 6, no. 3 (2005): 143–50. http://dx.doi.org/10.5367/0000000054662791.

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This paper situates the context for entrepreneurship in the creative industries sector in New Zealand. Setting promotion of the creative industries against an overarching national context of the government's Growth and Innovation Framework, the focus of the paper is the screen production industry, mainly the film industry. Buoyed by The Lord of the Rings –The Return of the King's Oscar success and other acclaim, the industry appears to be surfing high waves, making it an interesting case to examine. Commencing with delineation of the nature of entrepreneurship in the creative sector, the discu

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30

Tao, Shilin, Haoyu Fu, Ruiqi Yang, and Leiguang Wang. "A Multi-Task Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification." Remote Sensing 17, no. 14 (2025): 2442. https://doi.org/10.3390/rs17142442.

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The multi-scale characteristics of remote sensing imagery have an inherent correspondence with the hierarchical structure of land cover classification systems, providing a theoretical foundation for multi-level land cover classification. However, most existing methods treat classification tasks at different semantic levels as independent processes, overlooking the semantic relationships among these levels, which leads to semantic inconsistencies and structural conflicts in classification results. We addressed this issue with a deep multi-task learning (MTL) framework, named MTL-SCH, which enab

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31

Bran, Florina, Dumitru Alexandru Bodislav, and Carmen Valentina Rădulescu. "European Multi-Level Governance." European Journal of Sustainable Development 8, no. 5 (2019): 66. http://dx.doi.org/10.14207/ejsd.2019.v8n5p66.

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This paper represents an overview of the concept of multi-level governance and the approach delivered on innovation at European level with the purpose of helping and empowering researchers and businesses to thrive in a technologically advanced economy. The concept of multi-level governance derives from the analysis of the institutional framework for the development of Community policies and the Community political process. This stems from the presumption that the Community governance system has a high degree of differentiation and integration both vertically and horizontally. The multi-level g

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32

Saittakari, Iiris. "Where Are Headquarters Located? Building a Multi-Level Theoretical Framework." Academy of Management Proceedings 2019, no. 1 (2019): 19593. http://dx.doi.org/10.5465/ambpp.2019.19593abstract.

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33

Vyas, A. "MULTI-LEVEL EDUCATION AND CAPACITY BUILDING FRAMEWORK FOR TECHNOLOGY ADAPTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (August 24, 2020): 23–27. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-23-2020.

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Abstract. Advancements in the Geospatial Technology has brought about benefits to various fields in science and technology. The education and the capacity building of geospatial technology plays a very important role within these fields. The current practice of the education is basically dominated by the teacher, huge syllabus, non-relevant knowledge and having very little opportunity for the discussions between the students and teachers. Instead of the unidirectional, monolithic, rigid and traditional teaching in practice, it requires a change to dynamic, evolving, in-process and gradual syst

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34

HARQUAIL, CEILA VIRGINIA, and ADELAIDE WILCOX KING. "ORGANIZATIONAL IDENTITY AND EMBODIED COGNITION: A MULTI-LEVEL CONCEPTUAL FRAMEWORK." Academy of Management Proceedings 2003, no. 1 (2003): E1—E6. http://dx.doi.org/10.5465/ambpp.2003.13792529.

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35

J. G. R. Sathiaseelan, S. Albert Rabara, and J. Ronald Martin. "MLSF: A Framework for Multi-Level Secure Composite Web Services." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 2, no. 4 (2010): 71–78. http://dx.doi.org/10.4156/aiss.vol2.issue4.8.

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36

Choi, Jung-Gu, Inhwan Ko, Jeongjae Kim, Yeseul Jeon, and Sanghoon Han. "Machine Learning Framework for Multi-Level Classification of Company Revenue." IEEE Access 9 (2021): 96739–50. http://dx.doi.org/10.1109/access.2021.3088874.

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37

Sun, Dawei, Shang Gao, Xunyun Liu, and Rajkumar Buyya. "A multi-level collaborative framework for elastic stream computing systems." Future Generation Computer Systems 128 (March 2022): 117–31. http://dx.doi.org/10.1016/j.future.2021.10.005.

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38

Hemalatha, C. Sweetlin, V. Vaidehi, K. Nithya, A. Annis Fathima, M. Visalakshi, and M. Saranya. "Multi-Level Search Space Reduction Framework for Face Image Database." International Journal of Intelligent Information Technologies 11, no. 1 (2015): 12–29. http://dx.doi.org/10.4018/ijiit.2015010102.

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In face recognition, searching and retrieval of relevant images from a large database form a major task. Recognition time is greatly related to the dimensionality of the original data and the number of training samples. This demands the selection of discriminant features that produce similar results as the entire set and a reduced search space. To address this issue, a Multi-Level Search Space Reduction framework for large scale face image database is proposed. The proposed approach identifies discriminating features and groups face images sharing similar properties using feature-weighted Fuzz

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39

Gittell, Jody Hoffer, and Leigh Weiss. "Coordination Networks Within and Across Organizations: A Multi-level Framework*." Journal of Management Studies 41, no. 1 (2004): 127–53. http://dx.doi.org/10.1111/j.1467-6486.2004.00424.x.

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40

Klopp, David, Sebastian Erdweg, and André Pacak. "A Typed Multi-level Datalog IR and Its Compiler Framework." Proceedings of the ACM on Programming Languages 8, OOPSLA2 (2024): 1586–614. http://dx.doi.org/10.1145/3689767.

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The resurgence of Datalog in the last two decades has led to a multitude of new Datalog systems. These systems explore novel ideas for improving Datalog's programmability and performance, making important contributions to the field. Unfortunately, the individual systems progress at a much slower pace than the overall field, because improvements in one system are rarely ported to other systems. The reason for this rift is that each system provides its own Datalog dialect with specific notation, language features, and invariants, enabling specific optimization and execution strategies. This pape

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41

Chen, Guoying, Xinyu Wang, Min Hua, and Wei Liu. "Multi-level decision framework collision avoidance algorithm in emergency scenarios." International Journal of Vehicle Design 95, no. 3/4 (2024): 155–85. http://dx.doi.org/10.1504/ijvd.2024.139186.

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42

Gauzente, Claire, and Régis Dumoulin. "Franchising choice in retail networks: a multi-level institutional framework." International Review of Retail, Distribution and Consumer Research 22, no. 4 (2012): 385–96. http://dx.doi.org/10.1080/09593969.2012.690779.

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43

Zhang, Haoliang, Jinqiao Shi, and Xiaojun Chen. "A Multi-Level Analysis Framework in Network Security Situation Awareness." Procedia Computer Science 17 (2013): 530–36. http://dx.doi.org/10.1016/j.procs.2013.05.068.

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44

Lin, Ning, Weichuan Yu, and James S. Duncan. "Combinative multi-scale level set framework for echocardiographic image segmentation." Medical Image Analysis 7, no. 4 (2003): 529–37. http://dx.doi.org/10.1016/s1361-8415(03)00035-5.

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45

Lee, Rich C. "A Service Oriented Analytics Framework for Multi-Level Marketing Business." Journal of Software Engineering and Applications 05, no. 08 (2012): 527–35. http://dx.doi.org/10.4236/jsea.2012.58061.

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46

Erel, Umut, and Louise Ryan. "Migrant Capitals: Proposing a Multi-Level Spatio-Temporal Analytical Framework." Sociology 53, no. 2 (2018): 246–63. http://dx.doi.org/10.1177/0038038518785298.

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This article explores how migrants utilize and access different forms of capital. Using a Bourdieusian approach to capital, we focus on how migrants’ temporal and spatial journeys are shaped by and in turn shape their opportunities to mobilize resources and convert them into capitals. These processes depend on migrants’ social positioning, including their gender, class, ethnic and national positioning, as well as citizenship status, and how this is articulated in relation to different fields in different spatial and temporal contexts. Drawing upon our combined corpus of data on migration to th

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Frash, Robert, Sheryl Kline, Barbara Almanza, and John Antun. "Support for a Multi-Level Evaluation Framework in Hospitality Training." Journal of Human Resources in Hospitality & Tourism 7, no. 2 (2008): 197–218. http://dx.doi.org/10.1080/15332840802156949.

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48

Bellamy, Chloe, Katherine Boughey, Charlotte Hawkins, et al. "A sequential multi-level framework to improve habitat suitability modelling." Landscape Ecology 35, no. 4 (2020): 1001–20. http://dx.doi.org/10.1007/s10980-020-00987-w.

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Ness, Barry, Stefan Anderberg, and Lennart Olsson. "Structuring problems in sustainability science: The multi-level DPSIR framework." Geoforum 41, no. 3 (2010): 479–88. http://dx.doi.org/10.1016/j.geoforum.2009.12.005.

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Raja, Anita, and Victor Lesser. "A framework for meta-level control in multi-agent systems." Autonomous Agents and Multi-Agent Systems 15, no. 2 (2007): 147–96. http://dx.doi.org/10.1007/s10458-006-9008-z.

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