Bibliographic record
Abstract
What can you or I do? We are less than drops in the ocean, as far as our influence can go to re-model a nation. Elizabeth Gaskell, “The Moorland Cottage” (1850) In Elizabeth Gaskell's story ''The Moorland Cottage'' (1850), Frank Buxton despairs of his power to change what he perceives to be the corruption of a ''nation whose god is money'' ( MC , 7:61). Rather than working for change at home, he prefers the complete break, the fresh start of emigration to a ''newer and purer state of society'' in Canada or Australia ( MC , 7:62). But his fiancée, Maggie Browne, assures him that if he stays, he will soon see ''some heroic action meeting with a nation's sympathy, and you will rejoice and be proud of your country'' ( MC , 7:61). Heroic action, Maggie implies, has the power to redeem a corrupt society by example, by inspiring the average citizens - the mere ''drops in the ocean'' - to exert their influence for the better, and perhaps over time, to remodel a nation. Gaskell's fiction is preoccupied with questions of social transformation. Her work as a whole contrasts two models of change: abrupt and violent on the one hand, slow and continual on the other. Violent change includes various degrees of resistance to tyranny, from the French Revolution, which is integral to ''My French Master'' (1853) and ''My Lady Ludlow'' (1858), to Frederick Hale's mutiny in North and South (1855), and the resistance to the press gangs in Sylvia's Lovers (1863). Gradual change includes the passing away of generations, families, even of ''races,'' and Darwinian evolution, the language of which became available for application to social change during Gaskell's career. Gaskell tracks gradual change in ''Morton Hall'' (1853), ''Traits and Stories of the Huguenots'' (1853), Cranford (1853), ''An Accursed Race'' (1855), ''A Dark Night's Work'' (1863), and Wives and Daughters (1866).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".