scholarly journals Buoyant Ontologies: The Roots and Ramifications of Dialogue in Buber and Heidegger

Religions ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 778
Author(s):  
Niels Wilde
Keyword(s):  
A Priori ◽  
Fundamental Ontology ◽  
Different Types

Both Buber and Heidegger develop a notion of responsivity—in terms of dialogue regarding the former, and correspondence in the case of the latter—not merely as different types of discourse, but as transcendental structures in a relational or fundamental ontology. However, the responsive register is also transmitted on a different frequency; one that begins from elsewhere, not in a transcendental a priori, but in a transcendent address. Through a focused reading of Buber and Heidegger, I argue that responsivity not only takes place across the transcendental–transcendent divide, but shapes the ontological makeup of such a divide. In short, the ontological conditions of dialogue are negotiated, in turn, through dialogue.

scholarly journals When Does HARKing Hurt? Identifying When Different Types of Undisclosed Post Hoc Hypothesizing Harm Scientific Progress

2017 ◽  
Vol 21 (4) ◽  
pp. 308-320 ◽  
Author(s):  
Mark Rubin
Keyword(s):  
Philosophy Of Science ◽  
Present Article ◽  
Literature Search ◽  
A Priori ◽  
Scientific Progress ◽  
Research Report ◽  
Research Results ◽  
Different Types ◽  
Replication Crisis ◽  
Post Hoc

Hypothesizing after the results are known, or HARKing, occurs when researchers check their research results and then add or remove hypotheses on the basis of those results without acknowledging this process in their research report ( Kerr, 1998 ). In the present article, I discuss 3 forms of HARKing: (a) using current results to construct post hoc hypotheses that are then reported as if they were a priori hypotheses; (b) retrieving hypotheses from a post hoc literature search and reporting them as a priori hypotheses; and (c) failing to report a priori hypotheses that are unsupported by the current results. These 3 types of HARKing are often characterized as being bad for science and a potential cause of the current replication crisis. In the present article, I use insights from the philosophy of science to present a more nuanced view. Specifically, I identify the conditions under which each of these 3 types of HARKing is most and least likely to be bad for science. I conclude with a brief discussion about the ethics of each type of HARKing.

Examination of customer-centric measures among different types of customers in the context of major Canadian ski resort

2018 ◽  
Vol 30 (2) ◽  
pp. 438-459
Author(s):  
Matti J. Haverila ◽  
Kai Christian Haverila
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
A Priori ◽  
Equation Modeling ◽  
Marketing Practice ◽  
Content Type ◽  
Ski Resort ◽  
Different Types ◽  
Managerial Implications ◽  
Satisfaction Model

Purpose Customer-centric measures such as customer satisfaction and repurchase intent are important indicators of performance. The purpose of this paper is to examine what is the strength and significance of the path coefficients in a customer satisfaction model consisting of various customer-centric measures for different types of ski resort customer (i.e. day, weekend and ski holiday visitors as well as season pass holders) in a ski resort in Canada. Design/methodology/approach The results were analyzed using the partial least squares structural equation modeling approach for the four different types ski resort visitors. Findings There appeared to differences in the strength and significance in the customer satisfaction model relationships for the four types of ski resort visitors indicating that the a priori managerial classification of the ski resort visitors is warranted. Originality/value The research pinpoints differences in the strength and significance in the relationships between customer-centric measures for four different types ski resort visitors, i.e. day, weekend and ski holiday visitors as well as season pass holders, which have significant managerial implications for the marketing practice of the ski resort.

Convergence of management practices in India’s IT sector with ana priorivalidation

2018 ◽  
Vol 12 (4) ◽  
pp. 402-421
Author(s):  
Jayashree Mahesh ◽  
Anil K. Bhat
Keyword(s):  
Cluster Analysis ◽  
Operations Management ◽  
Management Practices ◽  
Qualitative Interviews ◽  
A Priori ◽  
Statistical Testing ◽  
Content Type ◽  
Empirical Survey ◽  
Different Types ◽  
Group A

PurposeThe purpose of this paper is to document similarities and differences between management practices of different types of organizations in India’s IT sector through an empirical survey. The authors expected these differences to be significant enough for us to be able to groupa priorithis set of companies meaningfully through cluster analysis on the basis of the similarity of their management practices alone.Design/methodology/approachUsing a mixed-methods approach, 73 senior-level executives of companies working in India’s IT sector were approached with a pretested questionnaire to find out differences on eighteen management practices in the areas of operations management, monitoring management, targets management and talent management. The different types of organizations surveyed were small and amp; medium global multinationals, large global multinationals, small and medium Indian multinationals, large Indian multinationals and small and medium local Indian companies. The differences and similarities found through statistical testing were further validateda priorithrough cluster analysis and qualitative interviews with senior-level executives.FindingsThe management practices of multinationals in India are moving toward Western management practices, indicating that management practices converge as the organizations grow in size. Though the practices of large Indian multinationals were not significantly different from those of global multinationals, the surprising finding was that large Indian multinationals scored better than global multinationals on a few practices. The practices of small and medium Indian companies differed significantly from those of other types of organizations and hence they formed a cluster.Practical implicationsThe finding that large Indian IT multinationals have an edge over global multinationals in certain people management practices is a confirmation of the role of human resource practices in their current success and their continuing competitive advantage.Originality/valueThis is perhaps the first study of its kind to document state of specific management practices across different types of organizations in India’s IT sector and then use measures on these practices to group a priori these organizations for validation.

scholarly journals Measuring social networks in primates: wearable sensors versus direct observations

2020 ◽  
Vol 476 (2236) ◽  
pp. 20190737
Author(s):  
Valeria Gelardi ◽  
Jeanne Godard ◽  
Dany Paleressompoulle ◽  
Nicolas Claidiere ◽  
Alain Barrat
Keyword(s):  
Data Collection ◽  
Wearable Sensors ◽  
A Priori ◽  
Population Level ◽  
Sensor Data ◽  
Collection Method ◽  
Data Collection Method ◽  
The Social ◽  
Different Types ◽  
Data Yield

Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioural observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Moreover, sensor data yield a reliable social network over short time scales and can be used for long-term studies, showing their important potential for detailed studies of the evolution of animal social groups.

scholarly journals Adaptive Provisioning of Heterogeneous Cloud Resources for Big Data Processing

2018 ◽  
Vol 2 (3) ◽  
pp. 15 ◽  
Author(s):  
Maarten Kollenstart ◽  
Edwin Harmsma ◽  
Erik Langius ◽  
Vasilios Andrikopoulos ◽  
Alexander Lazovik
Keyword(s):  
Large Scale ◽  
A Priori ◽  
Lead Times ◽  
Cloud Infrastructure ◽  
Good Utilization ◽  
Different Types ◽  
Recent Developments ◽  
Task Processing ◽  
Heterogeneous Cloud ◽  
Pipeline Failures

Efficient utilization of resources plays an important role in the performance of large scale task processing. In cases where heterogeneous types of resources are used within the same application, it is hard to achieve good utilization of all of the different types of resources. By taking advantage of recent developments in cloud infrastructure that enable the use of dynamic clusters of resources, and by dynamically altering the size of the available resources for all the different resource types, the overall utilization of resources, however, can be improved. Starting from this premise, this paper discusses a solution that aims to provide a generic algorithm to estimate the desired ratios of instance processing tasks as well as ratios of the resources that are used by these instances, without the necessity for trial runs or a priori knowledge of the execution steps. These ratios are then used as part of an adaptive system that is able to reconfigure itself to maximize utilization. To verify the solution, a reference framework which adaptively manages clusters of functionally different VMs to host a calculation scenario is implemented. Experiments are conducted based on a compute-heavy use case in which the probability of underground pipeline failures is determined based on the settlement of soils. These experiments show that the solution is capable of eliminating large amounts of under-utilization, resulting in increased throughput and lower lead times.

AN ABDUCTIVE REASONING BASED IMAGE INTERPRETATION SYSTEM

1996 ◽  
Vol 10 (06) ◽  
pp. 613-641
Author(s):  
SANTANU CHAUDHURY ◽  
ARBIND GUPTA ◽  
GUTURU PARTHASARATHY ◽  
S. SUBRAMANIAN
Keyword(s):  
Object Recognition ◽  
Domain Knowledge ◽  
A Priori ◽  
Image Interpretation ◽  
Abductive Reasoning ◽  
Recognition Problem ◽  
Aerial Image ◽  
Interpretation System ◽  
Different Types

This paper describes an abductive reasoning based inferencing engine for image interpretation. The inferencing strategy finds an acceptable and consistent explanation of the features detected in the image in terms of the objects known a priori. The inferencing scheme assumes representation of the domain knowledge about the objects in terms of local and/or relational features. The inferencing system can be applied for different types of image interpretation problems like 2-D and 3-D object recognition, aerial image interpretation, etc. In this paper, we illustrate functioning of the system with the help of a 2-D object recognition problem.

scholarly journals Total Energy and Macronutrient Intakes in Masters Athletes

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1296-1296
Author(s):  
Quentin Nichols ◽  
Rohit Ramadoss ◽  
Stella Volpe
Keyword(s):  
Total Energy ◽  
A Priori ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Significance Level ◽  
Funding Sources ◽  
Masters Athletes ◽  
Different Types ◽  
Study Participants ◽  
Post Hoc

Abstract Objectives Athletes subscribe to different energy and macronutrient intakes based on the needs of the sport. The aim of our study was to evaluate total energy and macronutrient intakes between different types of Masters athletes. Methods Female and male Masters athletes participated in this cross-sectional study. Dietary consumption data were measured using Block's 2005 Food Frequency Questionnaire. A one-way analysis of variance was used to compare total energy, protein, carbohydrate, and fat (in grams [g]) intakes among the athletes. When significant differences were found, a Fisher's LSD post hoc test was performed to identify specific group differences. The significance level was set a priori at P < 0.05. Results A total of 330 athletes (182 women and 148 men) were included in the study. Participants were 36.55 ± 11.2 years of age. The athlete population consisted of general athletes (n = 81), runners (n = 116), triathletes (n = 53), rowers (n = 46), and CrossFit athletes (n = 34). Runners (1941.35 ± 697.25 kilocolaries [kcal]), triathletes (2031.65 ± 912.02 kcal), and rowers (2004.15 ± 978.42 kcal) all had significantly greater total energy intakes compared to CrossFit athletes (1538.80 ± 491.74 kcal) (P < 0.05). Runners (226.21 ± 89.67 g) and triathletes (235.43 ± 134.29 g) had significantly greater carbohydrate intakes compared to CrossFit athletes (162.93 ± 66.99 g) (P < 0.05). Rowers (83.31 ± 44.74 g) had a significantly greater protein intake compared to CrossFit athletes (64.77 ± 21.32 g) (P = 0.027). Rowers (87.35 ± 45.91 g) had a significantly greater fat intake compared to CrossFit athletes (68.86 ± 25.10 g) (P = 0.041). Conclusions Based on our data, runners, triathletes, and rowers all had greater total energy intake compared to CrossFit athletes. Rowers also consumed significantly more protein and fat than CrossFit athletes. Rowers may consume more protein and fat due to the combination of endurance and strength needed to meet the demands of the sport. Further research is needed to continue evaluating total energy and macronutrient intakes between different types of Masters athletes. Funding Sources This project was unfunded.

scholarly journals When Does HARKing Hurt? Identifying When Different Types of Undisclosed Post Hoc Hypothesizing Harm Scientific Progress

2017 ◽  
Author(s):  
Mark Rubin
Keyword(s):  
Philosophy Of Science ◽  
Present Article ◽  
Literature Search ◽  
A Priori ◽  
Scientific Progress ◽  
Research Report ◽  
Research Results ◽  
Different Types ◽  
Replication Crisis ◽  
Post Hoc

Hypothesizing after the results are known, or HARKing, occurs when researchers check their research results and then add or remove hypotheses on the basis of those results without acknowledging this process in their research report (Kerr, 1998). In the present article, I discuss three forms of HARKing: (1) using current results to construct post hoc hypotheses that are then reported as if they were a priori hypotheses; (2) retrieving hypotheses from a post hoc literature search and reporting them as a priori hypotheses; and (3) failing to report a priori hypotheses that are unsupported by the current results. These three types of HARKing are often characterized as being bad for science and a potential cause of the current replication crisis. In the present article, I use insights from the philosophy of science to present a more nuanced view. Specifically, I identify the conditions under which each of these three types of HARKing is most and least likely to be bad for science. I conclude with a brief discussion about the ethics of each type of HARKing.

The different faces of power in European Union–Russia relations

2017 ◽  
Vol 53 (1) ◽  
pp. 101-117 ◽  
Author(s):  
Tom Casier
Keyword(s):  
European Union ◽  
A Priori ◽  
Radical Change ◽  
Effective Control ◽  
Norm Diffusion ◽  
Institutional Power ◽  
Theoretical Assumptions ◽  
Different Types ◽  
Ukraine Crisis ◽  
The Eu

This article applies Barnett and Duvall’s taxonomy of power to European Union (EU)–Russia relations aiming to understand power in its complexity and without a priori theoretical assumptions. Four different types of power – compulsory, institutional, structural and productive – feature simultaneously. It is argued that non-compulsory forms of power are key to understanding the logic of competition in EU–Russia relations in the decade preceding the 2014 Ukraine crisis, despite receiving limited scholarly attention. First, a struggle over institutional power, the capacity to control the conditions of the other actor indirectly, appeared from rivalling integration projects and competing norm diffusion. Secondly, power relations were strongly characterised by constitutive forms of power – structural and productive – in particular the capacity to produce and recognise identities, such as Europeanness. In both fields, the EU held a hegemonic position, which Russia increasingly challenged. The geopolitical reading of the change in regime in Ukraine in 2014 prompted Moscow to a radical change of strategy, by shifting the emphasis in the confrontation to compulsory power. Attempts at direct control, from annexation to sanctions, now dominate relations. Where Russia seeks to prevent the Euro-Atlantic community from gaining effective control over Ukraine through destabilisation, this can be labelled ‘negative’ compulsory power.

Associating street-network centrality with spontaneous and planned subcentres

Urban Studies ◽  
2020 ◽  
pp. 004209802093130
Author(s):  
Burcu H. Ozuduru ◽  
Chris J. Webster ◽  
Alain J. F. Chiaradia ◽  
Eda Yucesoy
Keyword(s):  
A Priori ◽  
Central Business District ◽  
Street Network ◽  
Economic Activities ◽  
Topological Graph ◽  
Urban Dynamics ◽  
Planning Policy ◽  
Different Types ◽  
Business District ◽  
The City

Scientific studies have long demonstrated how economic activities regularly distribute themselves within a city in response to geographical centrality. Following the growing interest in network geography in understanding urban dynamics, rather than measuring centrality (accessibility) by a priori knowledge of central business district (CBD) locations, in this article we measure the centrality of each link in a city’s street network, modelled as a topological graph. We use this to understand clustering behaviour of firms by industrial classification in the city of Ankara, Turkey. Our underlying hypothesis rests on the assumption that the geometry and topology of an urban grid contains accessibility information about the distribution of agglomeration economies and diseconomies, and that different types of enterprises are sensitive to this distribution in various ways. Among other things, the results of the study allow us to predict the evolution of what we call candidate centres (locations that could, by virtue of their connectivity footprint, become subcentres), actual subcentres and CBD functions in response to changes in a city’s street network. Decoding how commercial cluster locations interact with the detailed pattern of street-network-based centralities will be helpful for urban planning policy, in particular for commercial zoning decisions such as expanding CBDs and identifying locations for new subcentres that have an acceptable chance of success.

Sign in / Sign up

Export Citation Format

Share Document