The Disappearance of Arthur Nestor: Parafiction, Cryptozoology, Curation
Bibliographic record
Abstract
This paper considers Beneath the Surface: The Archives of Arthur Nestor, a parafictional exhibition that I curated in 2014 with 16 undergraduate students at Western University, Canada. The exhibition depicted the life of Dr. Arthur Nestor, a professor of Biology who had disappeared from London (ON) in 1975, seemingly without trace. Over the summer of 2014, some of Nestor’s files and artefacts had been discovered during university renovations, and this archive was given to students in Museum Studies to organize and catalogue. As we sorted through the files, it became clear that Dr. Nestor was something of a controversial figure, a man who became an environmental activist in Southwestern Ontario because of his belief that cryptids (lake monsters) lived in Lakes Huron and Erie, and were in need of protection from human-made pollution. As the documents in his file overlapped with our research in the wider sphere, the evidence seemed to suggest that Nestor had left London to join Dr. Roy Mackal, a University of Chicago professor of cryptozoology searching for the Loch Ness Monster. This paper weaves together the tale of Arthur Nestor and the curating of Beneath the Surface with a history of the relationship between natural history museums and cryptozoology, ultimately questioning what parafiction can do in both art galleries and museums.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.023 | 0.027 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".