Bibliographic record
Abstract
This chapter examines the ‘Lost World’ genre, a staple of late-Victorian popular fiction, exemplified by H. Rider Haggard’s stories featuring Allan Quatermain, and Ayesha, known as She-Who-Must-Be-Obeyed. These <italic>fin-de-siècle</italic> tales, while ostensibly celebrating British Imperialism and the continuation of colonial power, reveal layers of anxiety concerning degeneration, the collapse of civilisation, the rise of the Victorian ‘new woman’, and perhaps most potently the fear of death. Canadian writer James De Mille, in his book <italic>A Strange Manuscript Found in a Copper Cylinder</italic>, inverted Victorian values to satirise the capitalist economy, and the glorification of war, by creating the Lost World of the Kosekin where wealth is a burden and death worshipped. The presentation of the Lost World as a Gothic Space allows for a critical examination of the way that Victorian cultural certainties were challenged, by divergent belief systems, and the mystery and terror of death.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".