Narrative as a River II: (Un)continuity in Infrastructure; or, How do we Represent Cumulative E-Lit Works?
Bibliographic record
Abstract
As narratives seem to flow on in (dis)continuity and (un)continuity, hypermedia narrative, especially, can have a pattern like the flow of the Mississippi over the centuries—a chronology of flow and erasure, the emergence of new channels and the obscuring of old ones. As a thematic base for the 4th annual Narratives Panel, these dual panels will examine the larger or even overall trajectory of specific practitioners and scholars over the years in their work on story-making and story-telling. In this second panel, practitioners and scholars of electronic literature describe systems and structures in place which represent and allow us to understand the seemingly natural “flow” of individual and cumulative works. Here, the papers seek to tell alternative stories of electronic literature, whether by describing management, or by uncovering underrepresented groups and practitioners. In the first talk, Daniel Punday examines the metaphor of narrative as a river that evokes storytelling as a natural, uncontrollable process. And yet, we know that the history of managing river flows is one of the fundamental infrastructural challenges in human history—nowhere more than in the Mississippi and its complex relationship to the cities like New Orleans empowered but also threatened by flow and flood. In this talk, Punday will examine narrative as a seemingly natural “flow” and the infrastructure that support and tries to control it. Different storytelling platforms manage and map flow differently, and he’ll focus on a focus on the fundamental tension between mapping and flow in these digital works. Next, Will Luers will discuss his own recent works of recombinant narrative, Tales of Automation and Distant Affinities, as attempts to create fictions of flow and flux. Computation allows for a variability of sequencing, yet in the recycling of text and images a set of concerns, tensions, conflicts are conveyed, along with character and setting. What such works omit is narrative continuity. The focus of attention of the viewer/reader is instead on the montage of effects and how these point to an implied narrative - a narrative in flux. Luers will relate Ascott's and Seaman's "Field Theory" and "Process Art" as it relates to computational fiction making. The next two papers will describe the early development of the BIWOC in E-lit project, a comprehensive database of BIWOC (Black, Indigenous, women of colour) practitioners in e-lit. Created by Lai-Tze Fan and Neha Ravella, this project emerges as a resource for contemporary e-lit communities that respect that early e-lit offered women alternative spaces, communicative mode, and methods of dismantling tired exclusionary politics in publishing. As a response, BIWOC in E-lit offers a digital research environment for practitioners, scholars, and everyday citizens to learn more about alternative histories, approaches, and traditions of electronic literature through the works of women of colour. In the first paper, Fan speaks to the need for such projects, arguing that the representation of women of colour in e-lit is limited in part because many coding languages are based in American English. Here, she describes similar databases that have attempted to imagine alternative histories in and through technology, such as the Lesbian and Gay Liberation in Canada project. In the second paper, Ravella discusses the database as an alternative and interactive archive of e-lit. She describes the methodology of designing and constructing the database to include entries on BIWOC practitioners that list: the practitioner’s language and country of origin, their works in electronic literature, their known collaborators, data visualizations of their major themes and topics, and suggested critical readings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.027 |
| Scholarly communication | 0.030 | 0.044 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".