Bibliographic record
Abstract
Charles Dickens at 200 \nLibrary Exhibit, 2 April - 31 December, 2012 \nQueen's Special Collections joins the global celebration of the man and his great \nachievements by showing some of the treasures in its rare and valuable Dickens \nholdings. \nThe Dickens Collection at \nQueen's began in 1968 with the acquisition of the library of \nWalter Millen of Ottawa whose sister, Charlotte Millen, sold \nthe collection to the University after her brother's death. At \nthe time the collection included first editions of 23 novels, a \nhandsome set of Household Words and All the Year \nRound, and other articles of interest. Several novels \nappear in their original part-issue serial format. Since 1968 \nadditional gifts and purchases have expanded the \ncollection to more than 700 volumes. \nFor a few months the Dickens Exhibit showed many of \nthese items, usually available only to Victorian scholars, to \nthe interested public. The display foregrounded Dickens' \nvisits to North America, including Kingston; the invention of \n"part-issue" serial publication for Dickens' novels; the \nadvertisements surrounding the text of the novels that \nilluminate the cultural context in which he wrote; the \nillustrators of the novels and stories; and Dickens as journalist and publisher.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.523 | 0.221 |
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".