BOOK REVIEW: Ronald Reichertz.<b>THE MAKING OF THE ALICE BOOKS: LEWIS CARROLL'S USE OF EARLIER CHILDREN'S LITERATURE</b>. Montreal, QC and Kingston, ON: McGill-Queen's University Press, 1997.
Bibliographic record
Abstract
Perhaps it seems a backhanded compliment to say that a principal value of Ronald Reichertz's very useful book lies in its appendices. But that may have been Reichertz's plan. He gives only a third of his book--fewer than eighty pages--to the unfolding of his argument "that Carroll's fantasies incorporate an extensive literary tradition [. . .] that had been assimilated into children's literature before the Alice books were written" (4). "Incorporate" is the important word in his sentence. The many stories and poems he names and describes in the six chapters of his argument provide, in Reichertz's view, not just a context for Lewis Carroll's books; to an extent insufficiently remarked and studied by other commentators, they often furnish the very stuff of his writing.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.090 | 0.082 |
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".