l0ve0ne: Creating Electronic Literature on the Early World Wide Web
Bibliographic record
Abstract
Thirty years ago, my web-based hyperfiction l0veOne was the first work to be published in the Eastgate Web Workshop. L0veOne was a road trip in its journey-based narrative lexias, in its metaphors of radically changing cyberspace, and in its exploration of the paths for electronic literature that the World Wide Web engendered. Focusing on the creation of l0ve0ne in the early World Wide Web environment but also documenting other early web-based creative work and platforms -- such as the1994 ANIMA website hosted by the Center for Image and Sound Research in Vancouver, BC Canada -- this personal account explores initial changes in authoring and audience that occurred with the introduction of the World Wide Web. It documents the role of browsers in public access to the internet, details content and authoring issues in l0ve0ne, and concludes with observations on the World Wide Web-based authoring of four other early works: Stuart Moulthrop’s Hegirascope, composer John Maxwell Hobbs’ Web Phases, Michael Joyce’s Twelve Blue, and Olia Lialina’s My Boyfriend Came Back from the War.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".