2011 VanArsdel Prize Essay Tessellating Texts: Reading The Moonstone in All the Year Round
Bibliographic record
Abstract
This essay explores the tessellated reading experiences associated with Wilkie Collins’s The Moonstone, a serialized novel published in All the Year Round. A tessellated reading is one that engages with multiple texts at once, connecting and shaping elements of each text into one unified reading experience. Because Victorian serial installments were often published among a variety of contents in a single periodical, readers could tessellate meaning by drawing connections between the various texts of the issue. The primary tessellation this paper studies is the relationship between narrator Gabriel Betteredge’s favorite book, Robinson Crusoe, and advertisements in All the Year Round. Betteredge’s edition of Robinson Crusoe matches the 1866 Macmillan edition advertised in All the Year Round during The Moonstone ’s run. This, and other connections between the novel and its surrounding texts, reveals porous boundaries between contents in the periodical indicative of tessellated reading.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".