Bibliographic record
Abstract
William Blake's experimental artistic technologies produced a formidably complex artistic legacy. The Blake Archive ( www.blakearchive.org ) set out on a mission to restore that legacy by digital means—an ecological effort to reintegrate dispersed and disaggregated textual and pictorial fragments. But more than a decade of collective experience has revealed that the Archive is concerned at least as much with recapitulation and recycling as with restoration, and as much with disciplined fragmentation as with integration. The best explanation for the Archive's place in the posthumous history of Blake's work is in terms of editorial settlements that are crafted, negotiated, and imposed by editors acting as the agents of posterity. Those settlements are active participants in dynamic systems. Through three distinguishable historical phases—radical normalization in the decades following Blake's death; consolidation and institutionalization in the twentieth century; and, most recently, a digital superconsolidation that is simultaneously progressive and conservative—the editorial history of Blake's art elucidates several fundamental characteristics of editorial theory and practice. It also reveals suggestive symptoms of an unsettled and unsettling future of work, hope, challenge, and compromise on the brink of the known editorial universe.
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 | 0.020 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.018 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".