616 research outputs found
Securing Space for Local Peacebuilding: the role of international and national civilian peacekeepers
While large multilateral peace operations arrive with agendas extending into governance, economics, and other reforms, unarmed civilian peacekeeping (UCP) interventions focus on contributing to sufficiently safe space for local efforts at peacebuilding to proceed, at the request of local partners. They use a variety of nonviolent methods to increase the safety for local leaders and everyday people to engage in (re)building peace infrastructures and governance, within their own culture and contexts. This paper examines the potential for international interveners to support local efforts based on local invitations, local staff, conflict and context analysis, and living in conflict affected communities, followed by a case study of the Nonviolent Peaceforce South Sudan project. This project is helping to revitalize or create community peace infrastructures in coordination with local partners, other peacekeepers and humanitarian agencies, local government, army and other armed actors. This has saved lives, contributed to improved policing, improved relations between ethnic groups, supported local peace actors, and increased the effectiveness of multilateral peace operations and humanitarian aid work focused on physical safety
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Exploring the topology of the plausible: Fs/QCA counterfactual analysis and the plausible fit of unobserved organizational configurations
The main aim of this contribution is to expand the dominant rationale of organizational design research by including solutions and possibilities not observed in reality. We believe that the
counterfactual approach to configurations responds to an open call in organization theory and strategy to move the modelling of fit towards a more robust and theory-based specification. With this new approach we propose to rediscover the roots of organization design as a distinct normative discipline that ‘should stand approximately in relation to the basic social sciences as engineering stands with respect to physical sciences or medicine to the biological’. At a more general level, our view implies an expansion of the dominant meaning of the concept of ‘relevance’ in management research. While we agree with Gulati (2007: 780) that we as scholars should probe ‘more deeply into the problems and other issues that managers care about’, we also believe that relevance does not necessarily mean that researchers have to use an ex-post rationality by studying only empirically frequent phenomena. In contrast, we think that any management esearcher should bring with her or himself a fragment of the spirit
of the great Greek philosopher Anaximander (c. 610–c. 546 BC), who foresaw the concept of the infinite universe without the support of any empirical observation and against the predominant
wisdom of the time. Not by chance, Karl Popper (1998) onsidered Anaximander’s intuitions among the most vivid demonstrations of the power of human thought and logic
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Performative Work: Bridging Performativity and Institutional Theory in the Responsible Investment Field
Callon’s performativity thesis has illuminated how economic theories and calculative devices shape markets, but has been challenged for its neglect of the organizational, institutional and political context. Our seven-year qualitative study of a large financial data company found that the company’s initial attempt to change the responsible investment field through a performative approach failed because of the constraints posed by field practices and organizational norms on the design of the calculative device. However, the company was subsequently able to put in place another form of performativity by attending to the normative and regulative associations of the device. We theorize this route to performativity by proposing the concept of performative work, which designates the necessary institutional work to enable translation and the subsequent adoption of the device. We conclude by considering the implications of performative work for the performativity and the institutional work literatures
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A Chemistry of Organization: Combinatory Structural Analysis and Design
This paper is a response to the call for models of organization design as a science revealing the inner composition of organization and specifying the laws to be respected when crafting it. It maintains that the needed science is a chemistry of organization, addressing the combination of 'organizational elements' playing a role analogous to that of chemical elements in composing a variety of substances. Drawing both on classic organization design theory and on configurational and complementarity-based approaches, the paper specifies a set of basic organizational elements and a set of combinatory laws regulating their effective combinations. Testable propositions are derived on the necessary and sufficient conditions that the composition of organizations should have respect for achieving high levels of efficiency and innovation. These propositions are tested empirically on a sample of firms, using an innovative application of Boolean algebra
Influenza vaccination coverage among medical residents: An Italian multicenter survey
Although influenza vaccination is recognized to be safe and effective, recent studies have confirmed that immunization coverage among health care workers remain generally low, especially among medical residents (MRs). Aim of the present multicenter study was to investigate attitudes and determinants associated with acceptance of influenza vaccination among Italian MRs. A survey was performed in 2012 on MRs attending post-graduate schools of 18 Italian Universities. Each participant was interviewed via an anonymous, self-administered, web-based questionnaire including questions on attitudes regarding influenza vaccination. A total of 2506 MRs were recruited in the survey and 299 (11.9%) of these stated they had accepted influenza vaccination in 2011-2012 season. Vaccinated MRs were older (P = 0.006), working in clinical settings (P = 0.048), and vaccinated in the 2 previous seasons (P < 0.001 in both seasons). Moreover, MRs who had recommended influenza vaccination to their patients were significantly more compliant with influenza vaccination uptake in 2011-2012 season (P < 0.001). "To avoid spreading influenza among patients" was recognized as the main reason for accepting vaccination by less than 15% of vaccinated MRs. Italian MRs seem to have a very low compliance with influenza vaccination and they seem to accept influenza vaccination as a habit that is unrelated to professional and ethical responsibility. Otherwise, residents who refuse vaccination in the previous seasons usually maintain their behaviors. Promoting correct attitudes and good practice in order to improve the influenza immunization rates of MRs could represent a decisive goal for increasing immunization coverage among health care workers of the future. © 2014 Landes Bioscience
INCIDENZA DELL'INFLUENZA LIKE-ILLNESS TRA I MEDICI IN FORMAZIONE SPECIALISTICA ITALIANI: RISULTATI DI UNO STUDIO MULTICENTRICO
PREGO: Online Mistake Detection in PRocedural EGOcentric Videos
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This capability has a wide range of applications across various fields, such as manufacturing and healthcare. The nature of procedural mistakes is open-set since novel types of failures might occur, which calls for one-class classifiers trained on correctly executed procedures. However, no technique can currently detect open-set procedural mistakes online. We propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos. PREGO is based on an online action recognition component to model the current action, and a symbolic reasoning module to predict the next actions. Mistake detection is performed by comparing the recognized current action with the expected future one. We evaluate PREGO on two procedural egocentric video datasets, Assembly101 and Epic-tent, which we adapt for online benchmarking of procedural mistake detection to establish suitable benchmarks, thus defining the Assembly101-O and Epic-tent-O datasets, respectively. The code is available at https://github.com/alef/abo/PREGO
Single-cell analysis tools for drug discovery and development
The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M frames, 90K actions in 700 variable-length videos, capturing long-term unscripted activities in 45 environments, using head-mounted cameras. Compared to its previous version (Damen in Scaling egocentric vision: ECCV, 2018), EPIC-KITCHENS-100 has been annotated using a novel pipeline that allows denser (54% more actions per minute) and more complete annotations of fine-grained actions (+128% more action segments). This collection enables new challenges such as action detection and evaluating the “test of time”—i.e. whether models trained on data collected in 2018 can generalise to new footage collected two years later. The dataset is aligned with 6 challenges: action recognition (full and weak supervision), action detection, action anticipation, cross-modal retrieval (from captions), as well as unsupervised domain adaptation for action recognition. For each challenge, we define the task, provide baselines and evaluation metrics.Published versionResearch at Bristol is supported by Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Program (DTP), EPSRC Fellowship UMPIRE (EP/T004991/1). Research at Catania is sponsored by Piano della Ricerca 2016-2018 linea di Intervento 2 of DMI, by MISE - PON I&C 2014-2020, ENIGMA project (CUP: B61B19000520008) and by MIUR AIM - Attrazione e Mobilita Internazionale Linea 1 - AIM1893589 - CUP E64118002540007
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