Feeling ‘like part of the action’: Scrutinizing TripAdvisor reviews of Western Canadian military museums
Bibliographic record
Abstract
Contributing to literature on war and military museums, this article analyses 1,378 TripAdvisor reviews of 34 military museums located in Western Canada. With new technologies and online experiences now shaping the commemoration of war and other violent events, we conceptualize TripAdvisor as a popular online space of contestation where visitor meaning-making occurs. We examine three themes present in the reviews: i) commemorating family military legacies and service; ii) the allure of intimate, realistic, and interactive content; and iii) elevating experiences through veteran staff and celebratory approaches. While war museums have been criticized for ‘pseudo-realism’ or deceiving tourists into thinking they have received an authentic experience with war, our findings indicate that this is a feature visitors seek out and contribute to (rather than challenge) through review-writing. In the conclusion, we reflect on the implications of these findings for the relevant literature and discuss strategies to encourage visitors to reflect on how ‘pseudo-realism’ can normalize and trivialize violence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.021 | 0.029 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".