‘Destination Indigenous’: Wilderness Tourism, White Guilt, and Indigenous Ghosts in Algernon Blackwood's Canadian Gothic
Bibliographic record
Abstract
Blackwood's Canadian stories offer a version of Gothic wilderness-tourism terror, informed by an inherent ambivalence and repressed guilt about the British ‘colonizer’ entering traditional Indigenous territory. The encounter with Indigenous peoples and cultures, even as these cultures are recognized as more holistic and authentic than rational British subjects, is marked by a distinct discomfort. The British tourists, for all that they want to become one with nature, experience themselves encompassed by a hostile natural environment in which they are aware of themselves as intruders. Indigenous cultures in these stories are either threatening spectres (‘The Valley of the Beasts’; ‘The Haunted Island’; ‘The Wendigo’) or forlorn remnants (‘Running Wolf’), in both instances highlighting the irrepressible guilt that stalks the white intruder who unconsciously courts an experience of self-dissolution as expiation. If the repressed content in these stories is the fact of colonization, entering the territory as a foreign element, an invader, represents a form of uncanny intrusion through which the disowned past returns. However, in Blackwood's stories, the characters seek out this memory of disownment. As a form of colonial expiation, Blackwood's Canadian gothics enact the process identified by Renée Bergland in The National Uncanny, whereby Indigenous ghosts (and monsters) are internalized within the colonizer's imagination as spectres of both guilt and desire.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.037 | 0.015 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".