The Zoo Sphere of Influence Model
Bibliographic record
Abstract
In January 2023 we proposed the Zoo Sphere of Influence, a new model to represent the value of zoos/aquariums for species and society. This model set out to replace the 50-year-old perception of zoos/aquariums as fulfilling only the objectives of conservation, education, research, and recreation, and instead demonstrate the broad range of impacts zoos/aquariums have for species and society. The Zoo Sphere of Influence Model considers zoos/aquariums working at different scales (from local to international) and acknowledges a wide range of areas that they work. In addition to a visual representation of the value of zoos/aquariums, the initial paper proposed a proof-of-concept evaluation matrix that they could use to self-assess impact. Over a fifteen-month period, we trialled and developed the proposed model and assessment matrix through a global consultation and piloting process (this included piloting at 12 zoos, 5 international workshops/demos and a feedback survey that ran for 7 months). We have updated the model to include new sections on Indigenous Peoples & Local Communities (IP & LCs); Sustainability; and Diversity, Equity, Access, and Inclusion (DEAI). We have additionally updated the assessment criteria to incorporate key zoo/aquarium documents and have added a Core Values section reflecting the fundamental standards conservation zoos/aquariums should be fulfilling. This paper presents the updated version of the Zoo Sphere of Influence. We hope that the model will help zoos/ aquariums achieve the highest possible standard of practice and provide a means of recognising and celebrating these achievements.
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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) | 0.000 | 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".