Marshall Taylor

• Doctor of Philosophy
• Instructor at University of Notre Dame

Concept class analysis (CoCA) is a method for recovering cultural schemas in texts using a combination of word embedding and community detection models. Like survey-based forms of schematic class analysis (SCA), however, interpreting results can be difficult. Some of these interpretive difficulties are applicable across types of SCA, while others a...

Iconic” images possess cultural power. This paper asks: What makes an image “iconic”? To become publicly recognized as “iconic,” images undergo a process of consecration. We argue that this process of consecration is facilitated by the capacity to perceive the degree to which an image “looks iconic.” From this perspective, iconicity is an affordanc...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

Distances derived from word embeddings can measure a range of gradational relations—similarity, hierarchy, entailment, and stereotype—and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation induction,...

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not nec...

This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note...

Distances derived from word embeddings can measure a range of gradational relations— similarity, hierarchy, entailment, and stereotype—and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation induction...

As field change is often explained by recourse to agentic efforts of a few or revolutionary turbulence of many, this paper provides a complementary explanation of change grounded in the quotidian dynamics of physical objects and settings. Using the culinary and mountaineering fields, we demonstrate how attending to the materiality of objects and se...

As field change is often explained by recourse to agentic efforts of a few or revolutionary turbulence of many, this paper provides a complementary explanation of change grounded in the quotidian dynamics of physical objects and settings. Using the culinary and mountaineering fields, we demonstrate how attending to the materiality of objects and se...

Current debates about cultural change question how and how often change in personal culture happens. Is personal culture stable, or under constant revision through interaction with the environment? While recent empirical work finds attitudes are remarkably stable, this paper argues that typifications—how material tokens are classified as a particul...

Current debates about cultural change question how and how often change in personal culture happens. Is personal culture stable, or under constant revision through interaction with the environment? While recent empirical work finds attitudes are remarkably stable, this paper argues that typifications—how material tokens are classified as a particul...

In an earlier article published in this journal (“Concept Mover’s Distance”, 2019), we proposed a method for measuring concept engagement in texts that uses word embeddings to find the minimum cost necessary for words in an observed document to “travel” to words in a “pseudo-document” consisting only of words denoting a concept of interest. One pot...

Using the frequency of keywords is a classic approach in the formal analysis of text, but has the drawback of glossing over the relationality of word meanings. Word embedding models overcome this problem by constructing a standardized and continuous “meaning space” where words are assigned a location based on relations of similarity to other words...

The default position in economic psychology is that consumers evaluate the fairness of firms' pricing strategies based on a widely shared schema of market morality, operationalized by analysing the average response within a respondent pool to a given price-change scenario. Conversely, drawing on economic and cultural sociology, we argue that there...

Using the presence or frequency of keywords is a classic approach in the formal analysis of text, but has the drawback of glossing over the relationality of word meanings. Word embedding models overcome this problem by constructing a standardized meaning space where words are assigned a location based on relations of similarity to, and difference f...

In an earlier article published in this journal ("Concept Mover’s Distance,” 2019), we proposed a method for measuring concept engagement in texts that uses word embeddings to find the minimum cost necessary for words in an observed document to "travel" to words in a "pseudo-document" consisting only of words denoting a concept of interest. One pot...

Can cognitive neuroscience contribute to cultural sociology? We argue that it can, but to profit from such contributions requires developing coherent positions at the level of ontology and coherent epistemological views concerning interfield relations in science. In this paper, we carve out a coherent position that makes sense for cultural sociolog...

In conceptualizing institutions, theorists tend to resort to conceptual metaphors of ᴄᴏɴᴛᴀɪɴᴇʀs or sᴜʙsᴛᴀɴᴄᴇs. We argue these construals are responsible for difficulties analysts encounter in conceptualizing the sources and mechanisms behind institutional change. We propose ᴅɪsᴛʀɪʙᴜᴛɪᴏɴ as a more effective foundational metaphor for institutional an...

We propose a method for measuring a text’s engagement with a focal concept using distributional representations of the meaning of words. More specifically, this measure relies on word mover’s distance, which uses word embeddings to determine similarities between two documents. In our approach, which we call Concept Mover’s Distance, a document is m...

Can cognitive neuroscience contribute to cultural sociology? We argue that it can, but to profit from such contributions requires developing coherent positions at the level of ontology and coherent epistemological views concerning interfield relations in science. In this paper, we carve out a coherent position that makes sense for cultural sociolog...

In sociology, a cultural object is the “binding” of significance to a material form. But, how do people “bind” otherwise discrete elements as a single element? In cognitive neuroscience and the philosophy of mind, this is known as the “binding problem.” Sociologists can learn from research on binding, as it deepens our understanding of cultural obj...

We propose a method for measuring a text’s engagement with a focal concept using distributional representations of the meaning of words. More specifically, this measure relies on Word Mover’s Distance, which uses word embeddings to determine similarities between two documents. In our approach, which we call Concept Mover’s Distance, a document is m...

We propose a measure of discursive holes well suited for the unique properties of text networks built from document similarity matrices considered as dense weighted graphs. In this measure, which we call textual spanning, documents similar to documents dissimilar from one another receive a high score, and documents similar to documents similar to o...

A perennial concern in frame analysis is explaining how frames structure perception and persuade audiences. In this article, we suggest that the distinction between personal culture and public culture offers a productive way forward. We propose an approach centered on an analytic contrast between schemas, which we define as a form of personal cultu...

In this paper we introduce the idea of the dual process framework (DPF), an interdisciplinary approach to the study of learning, memory, thinking, and action. Departing from the successful reception of Vaisey (2009), we suggest that intradisciplinary debates in sociology regarding the merits of “dual process” formulations can benefit from a better...

A perennial concern in frame analysis is explaining how frames structure perception and persuade audiences. In this paper, we suggest that the distinction between personal culture and public culture offers a productive way forward. We propose an approach centered on an analytic contrast between schemas, which we define as a form of personal culture...

A perennial concern in frame analysis is explaining how frames structure perception and persuade audiences. In this paper, we suggest that the distinction between personal culture and public culture offers a productive way forward. We propose an approach centered on an analytic contrast between schemas, which we define as a form of personal culture...

The figure plots the number of articles that have attempted to “bring” something “back in” in the social sciences by publication year and number of citations. Andrew Abbott, taking a (pessimistic) sociology of knowledge perspective, identified this tendency—beginning with Homans’s classic article “Bringing Men Back in”—as emblematic of the tendency...

Recent work in cultural sociology has called attention to constraints imposed by material objects on interpretive processes, but is unclear as to how actors use such constraints to produce new meanings. In this article, we use novel newspaper data of people attempting to pay with large amounts of small cash and coins as a form of protest to highlig...

A sound understanding of the central limit theorem is crucial for comprehending parametric inferential statistics. Despite this, undergraduate and graduate students alike often struggle with grasping how the theorem actually works and why researchers rely on its properties to draw inferences from a single unbiased random sample. This package, sdist...

In this paper we introduce the idea of the dual process framework (DPF), an interdisciplinary approach to the study of learning, memory, thinking, and action. Departing from the successful reception of Vaisey (2009), we suggest that intradisciplinary debates in sociology regarding the merits of “dual process” formulations can benefit from a better...

Eisenstadt’s most well-known contributions come primarily from his research on “multiple modernities.” Less appreciated has been his evolutionary theory of cultural change. In this article, we revisit Eisenstadt’s evolutionary theory in order to make explicit his potential contributions to the neo-evolutionary tradition and demonstrate where his co...

Using interview data from individuals who were frequently asked some version of the question “What are you?” in regards to their race, we apply a deviance perspective to frame these encounters as micro level racial formation projects. Racial formation projects are problematized when one’s race is not readily classifiable. These data suggest that wh...

We rely on white supremacist music lyric data to elucidate how movement music suggests an emotional culture of feeling rules for white power music consumers. The feeling rules of white supremacists which are explored here are discourses, or emotion exemplars, mapped across an emotional terrain which encompasses the dimensions of pride and shame — e...