Bibliographic record
Abstract
This essay focuses on Matthew “Monk” Lewis’ poem “The Isle of Devils,” which appears in his Journal of a West India Proprietor. The poem relates the story of a shipwrecked woman, Irza, who finds herself at the mercy of a “Fiend” on an unnamed island that lies somewhere off the coast of Africa. With an analysis of the splitting of binaries such as colonizer/colonized, fertility/barrenness, mothering/murder, and poison/antidote/pharmakon contained in the poem, this essay investigates the dynamics of colonization. I discuss miscegenation and hybridity in connection with the Fiend and Irza’s children, who perish at the hands of the father following the mother’s abandonment of her family, and in the context of Lewis’ Journal. By way of a Derridean approach, the seemingly contradictory action of healing/harming in the poem gives way to a reading of the Fiend and Irza as equally to blame for the bloody demise of their island family, and one can call into question who—and what—is “monstrous.”
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 | 0.001 | 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 | 0.009 | 0.033 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".