Wildlife Diversity in Global Team Sport Branding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Many sport organizations worldwide have capitalized on wildlife iconography to develop their brand. Given the ongoing global biodiversity crisis and the importance of sport in modern societies, representations of wildlife in the sport industry offer enormous potential for shifting social norms, raising funds and promoting biodiversity conservation initiatives within the industry itself. We collected data on professional teams that use wild animals either in their name, logo, or supporters’ nicknames across 50 countries and across 10 team sports. We identified 727 sport organizations using wildlife iconography or nicknames. Mammals and birds are the most represented classes, and lions (Panthera leo), tigers (Panthera tigris), and grey wolves (Canis lupus) are the most frequently selected species. Threatened species and species with a declining population trend are more represented than other species, with differences across regions. This is a critical first step toward integrating biodiversity conservation in the sustainability agenda of sport organizations.
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.
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 | 0.001 |
| 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 it