“A Most Important Instrument”: Women, Literature, and the Social Good in 1790s Dublin
Bibliographic record
Abstract
This essay addresses distinctions between Irish and British literary theory and writing on education to sketch an intellectual tradition in which women’s education and public roles were accepted, even promoted. This tradition informs Lady Morgan’s representation of intellectual women, particularly in her later writings, as “instruments” of social change. Eighteenth-century Irish arguments for women’s intellectual equality, at least one so prominent that it was repeatedly republished and excerpted in periodicals, aligned with nationalist arguments at the end of the century which prioritized widespread education as a foundation for progress, peace, and self-government. Irish literary theory around 1800, particularly in the Transactions of the Royal Irish Academy, resonated with such concerns about the collective rather than the individual, stressing community and collaboration on terms consistent with Dublin circles’ practices. The social function of literature was also understood in collective rather than expressive terms and thus those who shape events are characterized by Morgan, Preston, and others as “instruments” rather than leaders. These intellectual trends and cultural practices provide a key context not only for Morgan’s later writings about women as politically active but also for a distinctive feature of Irish Romanticism more broadly: the centrality of women writers.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".