Conservation Education: Are Zoo Animals Effective Ambassadors and Is There Any Cost to Their Welfare?
Bibliographic record
Abstract
Animal ambassador encounters (AAE), where visitors come into close-contact with animals, are popular in zoos and are advocated as promoting connection to wild species. However, educational and animal-welfare implications are relatively unknown. We conducted a systematic literature review (PRISMA) to investigate visitor and animal outcomes of AAE. We identified 19 peer reviewed articles and 13 other records focused on AAEs. Although we found net positive or neutral impacts overall, several studies indicated that high-intensity visitor contact and long-term exposure may be detrimental to animal welfare. Most studies lacked rigour and claims were based on an absence of negative impacts rather than evidence of benefits. Multiple publications were derived from the same datasets and there were no standardised measures for either welfare or education impacts. Of the peer-reviewed articles, just two considered both education and welfare. Education studies often used perceived learning or only post-experience testing. Welfare studies used small samples (median n = 4; range 1–59), and limited measures of welfare. In order to justify the continued use of AAEs in modern zoos, animal welfare costs must be proven to be minimal whilst having demonstrable and substantial visitor educational value. Large-scale, standardised impact assessments of both education and welfare impacts are needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".