Bibliographic record
Abstract
This gorgeous photographic coffee table book reflects the entire history of Olympic sailing, with spectacular photographs celebrating heroes such as Paul Elvstrom and Ben Ainslie, fabulous locations, legendary classes - and the never-ending struggle of an Olympic sailor to make his mark. Sections cover: - An overview of the three eras of Olympic sailing (early years and yachting; modern dinghy racing and Elvstrom; the new professional era and Ainslie) - Origins - how sailing came to be in the Olympics - The struggle - training, teamwork, trials, selection, hope and heart-aching near misses - Legendary classes and boat designers - those that made an enduring impact - The new era - including the 49er, Laser, 470 and Europe, enabling fast and furious sailing - Fabulous locations - including Mexico, Montreal, Sydney, Athens and China - Icons, gold and glory - celebrating great Olympians, whose titanic struggles, outstanding achievements and logic-defying victories live on in the popular memory and add to the 'draw' of the Olympic legacy Featuring awe-inspiring images from the best sailing photographers in the world, each with an enlightening and entertaining commentary, this stunning book is a true celebration of this amazing sport through the years.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".