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Articles 1231 - 1260 of 1692
Full-Text Articles in Entire DC Network
Faitcrowd: Fine Grained Truth Discovery For Crowdsourced Data Aggregation, Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Jiawei Han
Faitcrowd: Fine Grained Truth Discovery For Crowdsourced Data Aggregation, Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Jiawei Han
Research Collection School Of Computing and Information Systems
In crowdsourced data aggregation task, there exist conflicts in the answers provided by large numbers of sources on the same set of questions. The most important challenge for this task is to estimate source reliability and select answers that are provided by high-quality sources. Existing work solves this problem by simultaneously estimating sources' reliability and inferring questions' true answers (i.e., the truths). However, these methods assume that a source has the same reliability degree on all the questions, but ignore the fact that sources' reliability may vary significantly among different topics. To capture various expertise levels on different topics, we …
Tweet Sentiment: From Classification To Quantification, Wei Gao, Fabrizio Sebastiani
Tweet Sentiment: From Classification To Quantification, Wei Gao, Fabrizio Sebastiani
Research Collection School Of Computing and Information Systems
Sentiment classification has become a ubiquitous enabling technology in the Twittersphere, since classifying tweets according to the sentiment they convey towards a given entity (be it a product, a person, a political party, or a policy) has many applications in political science, social science, market research, and many others. In this paper we contend that most previous studies dealing with tweet sentiment classification (TSC) use a suboptimal approach. The reason is that the final goal of most such studies is not estimating the class label (e.g., Positive, Negative, or Neutral) of individual tweets, but estimating the relative frequency (a.k.a. "prevalence") …
Gibberish, Assistant, Or Master? Using Tweets Linking To News For Extractive Single-Document Summarization, Zhongyu Wei, Wei Gao
Gibberish, Assistant, Or Master? Using Tweets Linking To News For Extractive Single-Document Summarization, Zhongyu Wei, Wei Gao
Research Collection School Of Computing and Information Systems
Single-document summarization is a challenging task. In this paper, we explore effective ways using the tweets linking to news for generating extractive summary of each document. We reveal the very basic value of tweets that can be utilized by regarding every tweet as a vote for candidate sentences. Base on such finding, we resort to unsupervised summarization models by leveraging the linking tweets to master the ranking of candidate extracts via random walk on a heterogeneous graph. The advantage is that we can use the linking tweets to opportunistically "supervise" the summarization with no need of reference summaries. Furthermore, we …
Topic Modeling With Document Relative Similarities, Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao
Topic Modeling With Document Relative Similarities, Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao
Research Collection School Of Computing and Information Systems
Topic modeling has been widely used in text mining. Previous topic models such as Latent Dirichlet Allocation (LDA) are successful in learning hidden topics but they do not take into account metadata of documents. To tackle this problem, many augmented topic models have been proposed to jointly model text and metadata. But most existing models handle only categorical and numerical types of metadata. We identify another type of metadata that can be more natural to obtain in some scenarios. These are relative similarities among documents. In this paper, we propose a general model that links LDA with constraints derived from …
Mwp-Bert: Numeracy-Augmented Pre-Training For Math Word Problem Solving, Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Mwp-Bert: Numeracy-Augmented Pre-Training For Math Word Problem Solving, Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Student Publications
Math word problem (MWP) solving faces a dilemma in number representation learning. In order to avoid the number representation issue and reduce the search space of feasible solutions, existing works striving for MWP solving usually replace real numbers with symbolic placeholders to focus on logic reasoning. However, different from common symbolic reasoning tasks like program synthesis and knowledge graph reasoning, MWP solving has extra requirements in numerical reasoning. In other words, instead of the number value itself, it is the reusable numerical property that matters more in numerical reasoning. Therefore, we argue that injecting numerical properties into symbolic placeholders with …
Using Tweets To Help Sentence Compression For News Highlights Generation, Zhongyu Wei, Yang Liu, Chen Li, Wei Gao
Using Tweets To Help Sentence Compression For News Highlights Generation, Zhongyu Wei, Yang Liu, Chen Li, Wei Gao
Research Collection School Of Computing and Information Systems
We explore using relevant tweets of a given news article to help sentence compression for generating compressive news highlights. We extend an unsupervised dependency-tree based sentence compression approach by incorporating tweet information to weight the tree edge in terms of informativeness and syntactic importance. The experimental results on a public corpus that contains both news articles and relevant tweets show that our proposed tweets guided sentence compression method can improve the summarization performance significantly compared to the baseline generic sentence compression method.
Solar: Scalable Online Learning Algorithms For Ranking, Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi
Solar: Scalable Online Learning Algorithms For Ranking, Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Traditional learning to rank methods learn ranking models from training data in a batch and offline learning mode, which suffers from some critical limitations, e.g., poor scalability as the model has to be retrained from scratch whenever new training data arrives. This is clearly nonscalable for many real applications in practice where training data often arrives sequentially and frequently. To overcome the limitations, this paper presents SOLAR- a new framework of Scalable Online Learning Algorithms for Ranking, to tackle the challenge of scalable learning to rank. Specifically, we propose two novel SOLAR algorithms and analyze their IR measure bounds theoretically. …
Beyond The Western Masses: Demography And Pakistani Media Credibility Perceptions., Kyujin Shim, Guy J. Golan, Anita G. Day, Sung-Un Yang
Beyond The Western Masses: Demography And Pakistani Media Credibility Perceptions., Kyujin Shim, Guy J. Golan, Anita G. Day, Sung-Un Yang
Research Collection Lee Kong Chian School Of Business
Based on a random survey sample, the current study examined audience assessments of different media platforms in Pakistan. This study found that in the complex Pakistani media landscape, ethnicity is a key indicator in predicting media credibility. Our study’s results indicate that minority ethnic groups tend to find domestic television to be less credible, and international television or traditional media to be more credible, than do members of the majority Punjabi group. Media reliance was found to be a significant indicator of media credibility assessment — particularly regarding media such as international television and the Internet — as media reliance …
Do Facebook Status Updates Reflect Subjective Well-Being?, Pan Liu, William Tov, Michal Kosinski, David J. Stillwell, Lin Qiu
Do Facebook Status Updates Reflect Subjective Well-Being?, Pan Liu, William Tov, Michal Kosinski, David J. Stillwell, Lin Qiu
Research Collection School of Social Sciences
Nowadays, millions of people around the world use social networking sites to express everyday thoughts and feelings. Many researchers have tried to make use of social media to study users' online behaviors and psychological states. However, previous studies show mixed results about whether self-generated contents on Facebook reflect users' subjective well-being (SWB). This study analyzed Facebook status updates to determine the extent to which users' emotional expression predicted their SWBspecifically their self-reported satisfaction with life. It was found that positive emotional expressions on Facebook did not correlate with life satisfaction, whereas negative emotional expressions within the past 9-10 months (but …
How Do Living Arrangements And Intergenerational Support Matter For Psychological Health Of Elderly Parents? Evidence From Myanmar, Vietnam, And Thailand, Bussarawan Teerawichitchainan, Wiraporn Pothisiri, Giang Thanh Long
How Do Living Arrangements And Intergenerational Support Matter For Psychological Health Of Elderly Parents? Evidence From Myanmar, Vietnam, And Thailand, Bussarawan Teerawichitchainan, Wiraporn Pothisiri, Giang Thanh Long
Research Collection School of Social Sciences
Living arrangements and family support for older persons have become an increasingly important policy concern in developing and rapidly aging Asia. Formulating a sound elderly care policy for the region will benefit from empirically examining how living arrangements, particularly coresidence, and intergenerational exchanges of financial, instrumental, and emotional support are associated with old-age psychological health. This study analyzes data from nationally representative aging surveys in Myanmar, Vietnam, and Thailand for 2011-2012 to offer a comparative perspective from Southeast Asia where various kinship systems coexist. Results suggest that coresidence with a child of culturally preferred gender significantly improves the emotional health …
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features, Jianfei Yu, Jing Jiang
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features, Jianfei Yu, Jing Jiang
Research Collection School Of Computing and Information Systems
We present a simple yet effective unsupervised domain adaptation method that can be generally applied for different NLP tasks. Our method uses unlabeled target domain instances to induce a set of instance similarity features. These features are then combined with the original features to represent labeled source domain instances. Using three NLP tasks, we show that our method consistently out-performs a few baselines, including SCL, an existing general unsupervised domain adaptation method widely used in NLP. More importantly, our method is very easy to implement and incurs much less computational cost than SCL.
A Convolution Kernel Approach To Identifying Comparisons In Text, Maksim Tkachenko, Hady W. Lauw
A Convolution Kernel Approach To Identifying Comparisons In Text, Maksim Tkachenko, Hady W. Lauw
Research Collection School Of Computing and Information Systems
Comparisons in text, such as in online reviews, serve as useful decision aids. In this paper, we focus on the task of identifying whether a comparison exists between a specific pair of entity mentions in a sentence. This formulation is transformative, as previous work only seeks to determine whether a sentence is comparative, which is presumptuous in the event the sentence mentions multiple entities and is comparing only some, not all, of them. Our approach leverages not only lexical features such as salient words, but also structural features expressing the relationships among words and entity mentions. To model these features …
Qcri: Answer Selection For Community Question Answering - Experiment For Arabic And English, Massimo Nicosia, Simone Filice, Alberto Barron-Cedeno, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessandro Moschitti, Kareem Darwish, Lluis Marquz Marquz, Shafiq Joty, Walid Magdy Magdy
Qcri: Answer Selection For Community Question Answering - Experiment For Arabic And English, Massimo Nicosia, Simone Filice, Alberto Barron-Cedeno, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessandro Moschitti, Kareem Darwish, Lluis Marquz Marquz, Shafiq Joty, Walid Magdy Magdy
Research Collection School Of Computing and Information Systems
This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which targeted real-life Web forums, and was offered in both Arabic and English. We apply a supervised machine learning approach considering a manifold of features including among others word n-grams, text similarity, sentiment analysis, the presence of specific words, and the context of a comment. Our approach was the best performing one in the Arabic subtask and the third best in the two English subtasks
The Thailand Report: National Landscape, Current Challenges And Opportunities For Growth, Institute For Societal Leadership, John W. Ellington, Serene Chen
The Thailand Report: National Landscape, Current Challenges And Opportunities For Growth, Institute For Societal Leadership, John W. Ellington, Serene Chen
Institute of Societal Leadership Research Collection
Thai migrants first began trickling into the Chao Phraya river valley from Southern China in the eleventh century. Thai chieftains established petty kingdoms in modern-day Myanmar, Thailand and Laos, initially as tributaries to more established Burmese and Khmer rulers. However, both the diminishing influence of the Khmer Empire and the Mongols’ sacking of the Burmese capital Bagan in 1287 left a political vacuum in mainland Southeast Asia, which was soon filled by Thai kingdoms such as Sukhothai (1238–1463), Chiang Mai (1296–1775), Ayutthaya (1351–1767) and eventually Bangkok (f. 1 782). In the process, the up-and-coming Thai polities supplanted the Khmer Empire …
Information, Attention, And Decision Making: From The Editors, Daan Van Knippenberg, Linus Dahlander, Martine R. Haas, Gerard George
Information, Attention, And Decision Making: From The Editors, Daan Van Knippenberg, Linus Dahlander, Martine R. Haas, Gerard George
Research Collection Lee Kong Chian School Of Business
More than five decades after the seminal works on how individuals process information and make decisions within organizations were published (Cyert & March, 1963; Simon, 1957), the thesis that individuals, groups, and organizations are bounded in their rationality and ability to attend to information continues to remain salient. Individuals and organizations display cognitive and motivational biases, both in their attention to information and in their decisions based on that information (De Dreu, Nijstad, & van Knippenberg, 2008; Ocasio, 2011; Tversky & Kahneman, 1974). The nature and volume of information, and managers’ behaviors in seeking and using information, have undergone massive …
What Does Living Alone Really Mean For Older Persons? A Comparative Study Of Myanmar, Vietnam, And Thailand, Bussarawan Puk Teerawichitchainan, John Knodel, Wiraporn Pothisiri
What Does Living Alone Really Mean For Older Persons? A Comparative Study Of Myanmar, Vietnam, And Thailand, Bussarawan Puk Teerawichitchainan, John Knodel, Wiraporn Pothisiri
Research Collection School of Social Sciences
Background: Rapid development and social change in Asia have led many to assume that the proportion of elderly people living alone is rising and that they tend to live in destitute situations. These assumptions often lack empirical validation. Objective: We address the trends and correlates of solitary living among older persons in Myanmar, Vietnam, and Thailand. We examine the extent to which this form of living arrangement equates with their financial stress, physical and social isolation, psychological distress, and met need for personal care. Methods: We analyze 2011-12 national surveys of older persons from the three countries. We employ descriptive …
Twenty Years' Evolution Of North Korean Migration, 1994-2014: A Human Security Perspective, Jiyoung Song
Twenty Years' Evolution Of North Korean Migration, 1994-2014: A Human Security Perspective, Jiyoung Song
Research Collection School of Social Sciences
Over the past two decades, there have been notable changes in North Korean migration: from forced migration to trafficking in women, from heroic underground railways to people smuggling by Christian missionaries. The migration has taken mixed forms of asylum seeking, human trafficking, undocumented labour migration and people smuggling. The paper follows the footsteps of North Korean migrants from China through Southeast Asia to South Korea, and from there to the United Kingdom, to see the dynamic correlation between human (in)security and irregular migration. It analyses how individual migrant's agency interacts with other key actors in the migration system and eventually …
Active Semi-Supervised Defect Categorization, Ferdian Thung, Xuan-Bach D. Le, David Lo
Active Semi-Supervised Defect Categorization, Ferdian Thung, Xuan-Bach D. Le, David Lo
Research Collection School Of Computing and Information Systems
Defects are inseparable part of software development and evolution. To better comprehend problems affecting a software system, developers often store historical defects and these defects can be categorized into families. IBM proposes Orthogonal Defect Categorization (ODC) which include various classifications of defects based on a number of orthogonal dimensions (e.g., symptoms and semantics of defects, root causes of defects, etc.). To help developers categorize defects, several approaches that employ machine learning have been proposed in the literature. Unfortunately, these approaches often require developers to manually label a large number of defect examples. In practice, manually labelling a large number of …
Tasknav: Task-Based Navigation Of Software Documentation, Christoph Treude, Mathieu Sicard, Marc Klocke, Martin P. Robillard
Tasknav: Task-Based Navigation Of Software Documentation, Christoph Treude, Mathieu Sicard, Marc Klocke, Martin P. Robillard
Research Collection School Of Computing and Information Systems
To help developers navigate documentation, we introduce Task Nav, a tool that automatically discovers and indexes task descriptions in software documentation. With Task Nav, we conceptualize tasks as specific programming actions that have been described in the documentation. Task Nav presents these extracted task descriptions along with concepts, code elements, and section headers in an auto-complete search interface. Our preliminary evaluation indicates that search results identified through extracted task descriptions are more helpful to developers than those found through other means, and that they help bridge the gap between documentation structure and the information needs of software developers. Video: https://www.youtube.com/watch?v=opnGYmMGnqY.
The Effects Of Linguistic Distance And Lingua Franca Proficiency On The Stake Taken By Acquirers In Cross-Border Acquisitions, Ilya Cuypers, Gokhan Ertug, Jean-Francois Hennart
The Effects Of Linguistic Distance And Lingua Franca Proficiency On The Stake Taken By Acquirers In Cross-Border Acquisitions, Ilya Cuypers, Gokhan Ertug, Jean-Francois Hennart
Research Collection Lee Kong Chian School Of Business
We study the effects of linguistic distance and lingua franca proficiency on the equity stake taken by acquirers from 67 countries in 59,092 acquisition targets in 69 host countries. We theorize and find that acquirers take lower equity stakes in foreign targets when linguistic distance and differences in lingua franca proficiency between them are high, and take higher stakes when the combined lingua franca proficiency of the parties is high. We also find that linguistic and cultural distance reduce the impact of the combined lingua franca proficiency of the parties on the level of equity taken, which shows that the …
Flutcha: Using Fluency To Distinguish Humans From Computers, Kotaro Hara, Mohammad Taghi Hajiaghayi, Benjamin B. Benderson
Flutcha: Using Fluency To Distinguish Humans From Computers, Kotaro Hara, Mohammad Taghi Hajiaghayi, Benjamin B. Benderson
Research Collection School Of Computing and Information Systems
Improvements in image understanding technologies aremaking it possible for computers to pass traditionalCAPTCHA tests with high probability. This suggests theneed for new kinds of tasks that are easy to accomplishfor humans but remain difficult for computers. In thispaper, we introduce Fluency CAPTCHA (FluTCHA), anovel method to distinguish humans from computersusing the fact that humans are better than machines atimproving the fluency of sentences. We propose a wayto let users work on FluTCHA tests and simultaneouslycomplete useful linguistic tasks. Evaluation studiesdemonstrate the feasibility of using FluTCHA todistinguish humans from computers.
Rclinker: Automated Linking Of Issue Reports And Commits Leveraging Rich Contextual Information, Tien-Duy B. Le, Mario Linares Vasquez, David Lo, Denys Poshyvanyk
Rclinker: Automated Linking Of Issue Reports And Commits Leveraging Rich Contextual Information, Tien-Duy B. Le, Mario Linares Vasquez, David Lo, Denys Poshyvanyk
Research Collection School Of Computing and Information Systems
Links between issue reports and their corresponding commits in version control systems are often missing. However, these links are important for measuring the quality of a software system, predicting defects, and many other tasks. Several approaches have been designed to solve this problem by automatically linking bug reports to source code commits via comparison of textual information in commit messages and bug reports. Yet, the effectiveness of these techniques is oftentimes suboptimal when commit messages are empty or contain minimum information; this particular problem makes the process of recovering traceability links between commits and bug reports particularly challenging. In this …
Advances In Knowledge Discovery And Data Mining Part Ii, Tru Cao, Ee Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
Advances In Knowledge Discovery And Data Mining Part Ii, Tru Cao, Ee Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
Research Collection School Of Computing and Information Systems
No abstract provided.
Characterizing Silent Users In Social Media Communities, Wei Gong, Ee-Peng Lim, Feida Zhu
Characterizing Silent Users In Social Media Communities, Wei Gong, Ee-Peng Lim, Feida Zhu
Research Collection School Of Computing and Information Systems
Silent users often constitute a significant proportion of an online user-generated content system. In the context of social media such as Twitter, users can opt to be silent all or most of the time. They are often called the invisible participants or lurkers. As lurkers contribute little to the online content, existing analysis often overlooks their presence and voices. However, we argue that understanding lurkers is important in many applications such as recommender systems, targeted advertising, and social sensing. This research therefore seeks to characterize lurkers in social media and propose methods to profile them. We examine 18 weeks of …
Comparison Of Altmetrics Across Multiple Disciplines: Psychology, History, And Linguistics, Tint Hla Hla Htoo, Jin-Cheon Na
Comparison Of Altmetrics Across Multiple Disciplines: Psychology, History, And Linguistics, Tint Hla Hla Htoo, Jin-Cheon Na
Research Collection Library
Since their emergence in 2010, altmetrics as new indicators of research impact receive considerable attention from scientometricians and various other parties including librarians, who have long been providing citation analysis and bibliometric services in academic and research institutions. Despite their rapid popularity, the validity of altmetrics in research evaluation is not yet clear. One way of assessing a new metric for its suitability in research evaluation is to find out its correlation with an established source of evidence. This study investigates the correlation between altmetrics and citation count in Psychology, History and Linguistics disciplines. In addition, the study also explores …
The Evolution Of Vocabularies And Its Relation To Investigation Of White-Collar Crimes: An Institutional Work Perspective, Abhijeet K. Vadera, Ruth V. Aguilera
The Evolution Of Vocabularies And Its Relation To Investigation Of White-Collar Crimes: An Institutional Work Perspective, Abhijeet K. Vadera, Ruth V. Aguilera
Research Collection Lee Kong Chian School Of Business
White-collar crimes are illegal and unethical actions by agents of an organization. In this paper, we address two related research questions concerning white-collar crime-how did the language of white-collar crime evolve? And how did this language co-evolve with the investigation of white-collar crime? Building on research on institutional work, we find that key institutional actors such as the Presidential Office are likely to use frames and adopt a particular language (i.e., the term "white-collar crime") in order to legitimize institutional practices (i.e., investigation of white-collar crimes). Conversely, less powerful actors such as the law enforcement agencies are then likely to …
Exploring Cyberbullying And Other Toxic Behavior In Team Competition Online Games, Haewoon Kwak, Jeremy Blackburn, Seungyeop. Han
Exploring Cyberbullying And Other Toxic Behavior In Team Competition Online Games, Haewoon Kwak, Jeremy Blackburn, Seungyeop. Han
Research Collection School Of Computing and Information Systems
In this work we explore cyberbullying and other toxic behavior in team competition online games. Using a dataset of over 10 million player reports on 1.46 million toxic players along with corresponding crowdsourced decisions, we test several hypotheses drawn from theories explaining toxic behavior. Besides providing large-scale, empirical based understanding of toxic behavior, our work can be used as a basis for building systems to detect, prevent, and counter-act toxic behavior.
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Research Collection School Of Computing and Information Systems
Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.
Understanding Natural Disasters As Risks In Supply Chain Management Through Web Data Analysis, Jimmy Ong, Zhaoxia Wang, Rick Siow Mong Goh, Xiao Feng Yin, Xin Xin, Xiuju Fu
Understanding Natural Disasters As Risks In Supply Chain Management Through Web Data Analysis, Jimmy Ong, Zhaoxia Wang, Rick Siow Mong Goh, Xiao Feng Yin, Xin Xin, Xiuju Fu
Research Collection School Of Computing and Information Systems
With the increasing trend of global outsourcing, companies are now facing ever more complexsupply chains. When a company operates over a large geographical area, the likelihood of disruptions ispotentially increased due to such unforeseen events as natural disasters, union strikes or social unrest. Inthis paper, we consider natural disasters as a form of risks in supply chains and propose to aid itsmanagement by analyzing Web data collected in real-time. Using Twitter "tweets" as our primary source ofWeb data, a real-time data crawler is developed to collect and analyze tweets that are identified as relevant tonatural disasters. In addition, a visualization …
Xunzi And Naturalistic Ethics, Sor-Hoon Tan
Xunzi And Naturalistic Ethics, Sor-Hoon Tan
Research Collection School of Social Sciences
The ascendency of science in modern times makes it commonplace to accept that science presents the only true and correct image of reality. This has led to naturalization attempts in various domains, from epistemology, metaphysics, to philosophy of mind, and ethics. Naturalistic ethics may mean different things depending on what we consider natural. David Copp equates it with the empirical – emphasizing the relevance of empirical evidence to justification – while admitting that what is empirical is itself problematic.1 One might count as empirical that which can be observed by our physical senses, or more narrowly that which can be …