One Possible Solution for Organizing Short Fiction

By Kenton Rambsy

My approach to annotating over 300 short stories using a shared schema or framework seeks to track several features related to character demographics, character dialogue, and geography-setting references.

These categories are derived from features that literary scholars already analyze yet encoding or organizing them in such a way facilitates our ability to perform computational analysis across several texts. Instead of reading stories in isolation, the framework makes their internal architecture visible and comparable. A professor teaching “The Gilded Six Bits” by Zora Neale Hurston, for instance, could discover other stories that focus on an extramarital affair, or a person reading “Battle Royal” by Ralph Ellison can focus on other stories that incorporate flashbacks.

Once these features are marked up consistently, we can compare stories across writers and even historical periods to see where patterns repeat and where they diverge. We can identify stories that rely on concentrated speech between only women characters, stories structured around private spaces like a bedroom inside a family home or stories that focus on characters from a certain region or with specific attributes. Those comparisons provide the basis for grouping texts by craft and creative features rather than by period alone.

Therefore, by creating a scaffolding for short stories, this project attempts to create a more durable way of discussing short stories in the field by building an infrastructure necessary for classification and sustained comparison.

Related:

• The Black Short Story Project

On Historical Periods Serving as the Default Framework for Short Stories

By Kenton Rambsy

Too often chronology serves as a prevailing way to organize short fiction since the genre lacks a shared and structural vocabulary to describe the form in depth.

We encounter short stories grouped under headings such as Harlem Renaissance, Black Arts, or Contemporary eras. These labels are valuable for situating texts within historical continuums. The framing, though, has come to function as a substitute for classification.

When chronology becomes the primary organizing principle, stories within a single era are treated as though they share defining characteristics simply because they were written at the same moment. Structural differences within a period recede from view, while similarities across periods remain unexamined. For instance, a story published in the Harlem Renaissance about women empowerment may share more similarities with a twenty-first-century story than with other texts from its own decade.

If we rely exclusively on chronology, we organize stories by when they appeared rather than by how they operate.

Related:

• The Black Short Story Project

A Structural Problem in the Study of Black Short Fiction

By Kenton Rambsy

Black short fiction is widely read, frequently anthologized, and regularly taught, yet it lacks the structural scaffolding that shapes how we organize and interpret it.

With novels, we speak easily in subgenres such as neo-slave narratives, or detective or romance novels. With poetry, we hear of different forms and aesthetic traditions. The labels describe the texts, but they also facilitate the grouping and comparing of writers across various historical period.

Some individual stories by major writers receive noticeable attention. However, what remains underdeveloped is a comparable system for linking stories across authors by structural similarity. We do not instinctively name recurring narrative types within Black short fiction in the same way we do for novels or poetry, and as a result, stories are often discussed writer by writer rather than as part of a mapped continuum.

Without that connective vocabulary, Black short fiction remains harder to cluster, compare, and imagine as a coherent body of work.

Related:

• The Black Short Story Project

Some Kinds of Readers

As a complement to my entry on "Some Forms of Reading," I decided to provide this list and brief descriptions of kinds of readers.

The Academic Reader: Reads to analyze, interpret, and produce arguments within scholarly contexts, attending closely to evidence, method, terminology, and disciplinary conversations.

The Immersive Reader: Reads for absorption and narrative transportation, seeking sustained attention, emotional involvement, and imaginative entry into a text’s world.

The Analytical Reader: Reads with a focus on structure, language, and craft, noticing patterns, rhetorical moves, symbolism, and formal design.

The Critical Reader: Reads with attention to power, ideology, historical context, and representation, asking who benefits, who is marginalized, and what assumptions shape the text.

The Informational Reader: Reads primarily to gather facts, updates, or practical knowledge, prioritizing efficiency and clarity over aesthetic depth.

The Digital Navigator (Reader) : Reads across platforms, hyperlinks, and multimedia environments, integrating text, image, and interface cues while managing distraction.

The Scroll Reader: Consumes short bursts of content rapidly, moving quickly between texts and often privileging novelty and speed over depth.

The Reflective Reader: Reads in order to think about thinking, pausing, rereading, annotating, journaling, and integrating reading into self-understanding.

The Cultural Reader: Reads as a participant in shared conversations, connecting texts to broader traditions, movements, and communities.

The Developing Reader: Represents a reader in transition who is building stamina, vocabulary, interpretive skill, and confidence, foregrounding growth rather than fixed identity.

Related:

• Notes on Black Readers & Digital Culture

Coding Imagination Within Clear Guidelines

By Kenton Rambsy

This project cemented for the Data Rangers that imaginative texts still require disciplined systems when transformed into structured data.

Nandi Chase, a sophomore Economics major at Howard University, discovered that annotating literature is not an open-ended exercise in interpretation. She admitted that “turning literature into data has more moving pieces than I realized,” and the process is “more formulaic and less subject to interpretation than I expected.” While the stories may be imaginative, the coding follows defined guidelines to ensure the integrity of the dataset.

Speculative fiction proved to be an interesting challenge for Lyric Hoover, a junior English major at Howard, since she had to apply the same principles to imagined worlds. She explained that “annotating speculative fiction felt so different from annotating non-speculative fiction,” especially when elements like geography and settings “required a different perspective and analytical process.” She had to determine how imaginative settings and speculative elements still fit within clear guidelines since the categories remain consistent across all stories for coding dialogue, character, and space.

The reflections underscore how even though imaginative, literature can be translated into structured data, but only through disciplined judgment that respects both genre and guidelines.

Related:

• The Black Short Story Project

Quantifying Craft and Breaking Stories Into Data

By Kenton Rambsy

This annotation process requires the Data Rangers approach reading differently and focus on facets of each related to character demographics, dialogue, and settings.

“The story does feel different when I quantify it,” according to freshman African American Studies major at Howard University Cheyenne Freeman, because isolating dialogue, setting, and demographics “amplifies the sociological and psychological parts of the story and the character.” Surprisingly, pulling apart specific elements of a character during the annotation process helped her better understand how those elements work together. Damarian Washington, a junior History major at Howard, similarly shared that when you “break a story into segments,” you establish so much more context and understand how each element acts more like a “connective tissue than a continuous flow.”

Their reflections demonstrate how categorizing a story expands the ways in which we can interpret a story instead of flattening it. The process clarifies relationships between setting, speaker, and character presence. Ultimately, annotating these stories train Data Rangers to see how writers build coherence through structure and detail.

When we convert short fiction into structured data, we are uncovering artistic and structural choices that reveals how carefully a story was constructed in the first place.

Related:

• The Black Short Story Project

Interpreting Short Fiction Through Annotation

By Kenton Rambsy

Transforming literary art like short fiction into an accurate dataset requires critical thinking, because every annotation decision determines how a story will be represented and analyzed later.

Abiba Moncriffe, a sophomore African American Studies major at Howard University, initially struggled to annotate settings during her first week because she “did not have a lot of information about where the characters were.”

She explains how that uncertainty forced her to sit with the absence of place, and “taught me the importance of details in storytelling and how the missing elements of location added to the way the story read.”India Crowe, a sophomore Sociology major at Howard, admitted that she often debates whether to include characters who “appear only once,” but she realized that “these moments teach me that less-involved characters still contribute to world-building and serve a purpose, even if it is not as explicit as others.”

These decisions require judgment. Data Rangers follow a shared system, rely on context clues, and ask questions when something is unclear. Their attention to detail demonstrates intellectual discipline and safeguards the accuracy of the dataset.

Each careful annotation reminds us that building a dataset from short fiction is an act of interpretation, not automation.

Related:

• The Black Short Story Project

When Spreadsheets Meet Black Literary Study

By Kenton Rambsy

When Data Rangers annotate Black short stories, they discover how tools like Excel can be powerful instruments for literary analysis.

Lyric Hoover, a junior English major at Howard University, admitted that before this project she “didn’t view tools like Microsoft Excel as important to my research within the field of literary studies,” but annotation helped her recognize “the usefulness of data in conducting literary analysis.” Gabriella Pardlo, a sophomore Economics major at Howard, shared that Word and Excel once felt like “just apps I used for class,” yet she now understands how they “collect and organize aggregate data.”

Both Data Rangers began seeing spreadsheets as tools to organize and analyze information related to dialogue, character, and setting become visible through line-by-line annotations. Normally, people would think of using Excel for literary studies or think about using Word as a tool to extract and clean data. These Data Rangers found that computational precision, however, can deepen rather than dilute close reading when using Excel to clean data, apply formulas, and build pivot tables.

For Lyric and Gabriella, familiar tools like Excel serve new intellectual purposes as they reflect on how spreadsheets can organize literary insight and reshape how they think about using digital tools in scholarly work.

Related:

• The Black Short Story Project