An Empty Graveyard: The Victims of the 1946 AOA DC-4 Crash, Their Final Resting Place, and Dark Tourism
Bibliographic record
Abstract
In 2013, archaeologists succeeded in locating a plane crash that had been presumed buried based on local stories. The aircraft had crashed into a steep hill, subsequently known as Crash Hill. On the summit is a deteriorated memorial which resembles a cemetery, marking the thirty-nine people who died in the 1946 tragedy. This memorial has been a spot of pilgrimage for family and an attraction for adventure seekers. This draw to dark tourism sites is not uncommon but since archaeologists shared their finds with the public through social and local media, many of those visitors are drawn to the crash site instead of the memorial. This is a problem as there are possibly mass graves at the crash site, and visitation can potentially disturb those remains. This article argues for caution when discussing finds publically and for the repair and restoration of the memorial at the top of the hill to fill the want to visit a site of tragedy without disturbing the actual crash site.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".