The role of post-visit action resources in facilitating meaningful free-choice learning after a zoo visit
Bibliographic record
Abstract
Places like zoos, where free-choice learning is encouraged, are important for conveying climate change and sustainability issues to the public. Free-choice learning that targets environmentally focused sustainable behavior changes must be meaningful in order to encourage actual behavior change post-visit. However, visitors often fail to translate their learning into behavior change after a visit. This research explores the role of post-visit action resources (PVARs) in facilitating long-term learning for individual environmental sustainability after a visit to the Leatherdale International Polar Bear Conservation Centre in Winnipeg’s Assiniboine Park Zoo in Manitoba, Canada. An embedded mixed-methods research design used personal meaning maps and follow-up interviews to measure free-choice learning; data were analyzed both quantitatively and qualitatively. Findings revealed that the PVARs positively affected free-choice learning after an on-site visit to the zoo. Recommendations and implications are discussed in relation to practical applications and implications for future research in environmental education.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".