Bibliographic record
Abstract
Literature on penal tourism has examined meanings of imprisonment and punishment communicated in infamous American (e.g. Alcatraz, Eastern State Penitentiary), Australian (e.g. Fannie Bay Gaol, Port Arthur) and South African (e.g. Robben Island) sites. Yet such research has not extensively drawn from academic debates on authenticity and heritage that have become prominent in tourism research. This article examines the staging of authenticity in lesser-known penal history museums located across Canada. Whether large and aesthetically impressive or small and dingy, the existence of museums in original heritage penal sites raises questions about authenticity and how it is staged. Based on an analysis of field notes and interviews from visits to 45 penal history sites in Canada, we present four strategies (preservation, restoration, importation and creation) used by staff and volunteers at penal history museums to draw attention to four types of authenticity (architectural and spatial, tactile and visual, existential and narrative) that reinforce claims about the purported realities of incarceration found therein.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".