Bibliographic record
Abstract
Although Mazo de la Roche was criticized by reviewers, the author enjoyed an enduring and gratifying relationship with her innumerable readers. The immediate attempt to place de la Roche's novel in the canon of great works was due largely to two factors. First, since the novel had won a substantial sum for an unfamiliar author, it had to be perceived as excellent. Second, since the award had been offered by the Atlantic Monthly, the status of the magazine was reflected in its choice of winner. Notions of literary value, as well as ideological assumptions, held respectively by reviewers and readers diverged over time and resulted in the gradual shift in de la Roche's literary standing. In reconstructing the historical moment of Jalna , the paradox of professional marginalization and popular success emerges, despite an early acceptance by both high and popular cultures. For de la Roche's readers, the conservatism of her novels evoked a past — albeit a largely imaginary one — that they found particularly appealing. Her reviewers, on the other hand, were frustrated by a series of novels that embraced an increasingly obsolete ideology.
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 | 0.011 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.028 | 0.014 |
| Scholarly communication | 0.029 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 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".