The ‘Sanctuary Gap’: Reviewing the Research on Captive Wildlife Sanctuary Tourism
Bibliographic record
Abstract
Wildlife sanctuaries have gained popularity in recent years as settings for research into human–animal relations, captive wildlife tourism, and rehabilitation. While scholars from animal studies, ethics, geography, and ethnography disciplines have turned their attention to sanctuaries, there is still limited engagement from the fields of tourism, conservation, and animal welfare sciences. Adopting an interdisciplinary approach, this paper addresses the ‘sanctuary gap’ by offering a synthesis of the existing research related to wildlife sanctuary tourism. To this end, the paper suggests preliminary definitions for wildlife sanctuary tourism and wildlife sanctuary attractions, as well as a typology of sanctuaries along a spectrum from greenwashed to just. It aims to illuminate the shadowy presence of wildlife sanctuaries across multiple disciplines and identify areas for future research. The discussion considers how sanctuaries are well-suited to research on multispecies communities, as well as the conservation and welfare of wild animals.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".