The Poet and the Philanthropists: William Chapman's Aspirational Bid for the Nobel Prize
Bibliographic record
Abstract
French Canadian poet William Chapman is generally dismissed as second-rate imitator of Lamartine, Hugo or his compatriot Louis Fréchette. Chapman's bitter feud with Fréchette has been – much more than the five collections of verse he published between 1876 and 1912 – his claim to fame. Despite being at odds with his North American contemporaries, Chapman was indefatigable in his pursuit of literary prestige. Chapman's quest for literary honours including the Nobel Prize, while it has thus far attracted the derision of critics, in fact provides context for a deeper understanding of his poetic practice within the shifting philanthropic landscape of the turn of the century. Close readings of two of Chapman's poems, ‘À M. Andrew Carnegie’ and ‘Nobel’, alongside contemporary journalistic sources, point to a new understanding of Chapman's considerable body of occasional verse and of Chapman himself as a savvy professional attuned to the developing ‘economy of prestige’.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.017 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".