Sherlock Holmes and the Adventure of Theosophy: Spiritual Underpinnings of the Science of Deduction
Bibliographic record
Abstract
Sherlock Holmes is often oversimplified as a secular modern professional, with a remorselessly scientific outlook. This hypothesis overlooks late-nineteenth-century English society’s pursuit of new social possibilities for spiritualism, following challenges from Darwinist biological determinism to orthodox biblical mythology and morality. If we see Holmes in a default empirical scientism affiliated to imperial ideologies, we will remain blind to the effects of multiple countercultural and spiritual tones that also underpin the “science of deduction.” Holmes’ methods were subliminally informed by theosophy, as Doyle gleaned much of his spiritual knowledge from first- or second-hand readings on Blavatsky. Thus, Vedantic and Buddhist philosophy find inadvertent—but not coincidental—traces in Holmes through theosophy. An intellectual offspring of the trinity of Darwin, Huxley, and Tyndall, Holmes was also a child of Blavatsky’s occult philosophy. Adopting a decolonial praxis, this paper argues that comparisons between the materialistic principles of Darwin, Huxley, and Tyndall, on the one hand, and Holmes on the other, are as useful as comparing the detective’s work to Blavatsky’s theosophy.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| 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".