Inexhaustible Mines and Post-lapsarian Decay: The End of Improvement in Defoe’s <i>Tour</i>
Bibliographic record
Abstract
While some scholars read Daniel Defoe’s A Tour thro’ the Whole Island of Great Britain (1724–26) as celebrating human improvement of the natural world, in descriptions of the key improving activity of mining, the narrator records how improvement and depletion go hand in hand. In the process, he raises the question of whether improvement can continue indefinitely. As he toggles between literal description of what he observes in Britain’s landscape and metaphorical fantasies of the resources he hopes to find beneath the earth’s surface, the narrator reflects a discourse of natural history shaped by competing narratives of Edenic abundance and post-lapsarian decay. Read through the lens of this theological dialectic, Tour registers a concern about the long-term consequences of improving endeavours as its narrator observes how nature is depleted and made unpredictable by human exploitation.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".