Studying Gardens of the World with Students of Higher Education Establishments
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
The image of one of the greatest actresses, Audrey Hepburn, is presented in different ways: actress, model, dancer, the Goodwill Ambassador for UNICEF. Audrey Hepburn, who loved nature and gardens, saw a rare opportunity to bring forth their beauty in poetic and meaningful ways in Gardens of the World. Her unique vision of the series included fusing the historical and aesthetic aspects with the arts of literature, music and painting. Gardens of the World was filmed on location around the world, including:- Claude Monet s garden at Giverny; George Washington s Estate at Mount Vernon; the ancient moss temple garden Saiho-ji in Kyoto Japan; gardens at Mottisfont Abbey, Tintinhull House, Chilcombe Garden, Hidcote Bartram Village and Hidcote Manor in England; the Keukenhof Garden and the Tulip Fields of Lisse in the Netherlands, Villa Pancha in the Dominican Republic; Giardini di Ninfa and Villa Gamberaia in Italy; La-Roseraie de L Haÿ-les-Roses, Chateau de Courances, Jardin du Luxembourg, and Jardin du Luxembourg in France. The 8 episodes explore: Roses & Rose Gardens, Formal Gardens, Tulips and Spring Bulbs, Country Gardens Japanese Gardens Flower Gardens, Tropical Gardens, Public Gardens and Trees. Each episode presents a different garden theme as well as broader concepts of aesthetic, botanical, cultural or environmental significance.
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 | 0.000 |
| 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 it