Bibliographic record
Abstract
Lydia Sigourney’s (mis)identification as “The American Hemans” serves as a kind of parallel or allegory for the double-bind faced by nineteenth-century woman writers: to become famous, one must be like Hemans, but to be like Hemans is to lose sight of oneself; to signify oneself as a “proper” woman writer, one must utter the sobs of the sentimental woman, but such a voice has been valued by critics at about the level of “anonymous.” Sentimentalism, what is expected of the woman writer if she is to achieve fame, has been seen as manipulation, not an art. In a feminist prose essay on women’s education, Sigourney reveals her desire for fulfillment in roles other than the strictly domestic: she longs for the day when women can be “professors.” A canny poet-engineer taking up the tools of the new sensationist epistemology to become a professor of sentimental rhetoric, Sigourney deploys several poetic voices or personae to communicate her decidedly feminist ethos. The subject positions adopted in her poems are various, ranging from male seminary professor to an edgy, angry, male prophet, from woman rhetor to woman preacher. InLucy Howard’s Journal, Sigourney prophesies and in some sense prepares her own reception history as a female writing subject whose textual voice can outlive the stultifying critique of feminine sentimentalism.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".