The Lives, Lore, and Literature of Cranes: A Catechism for Crane Lovers
Bibliographic record
Abstract
This book provides basic information on cranes that should be of interest and importance to crane-loving birders (“craniacs”) as well as to ornithologists and wildlife managers. Primary consideration is given to the sandhill and whooping cranes, but all 13 of the Old World cranes are also discussed. Special consideration is given to the relative abundance and conservation status of all of the world’s species, of which nearly half are declining and a few are in real danger of long-term survival. More than 80 refuges and preserves in the United States and Canada, where the best chances of seeing cranes in the wild exist, are described, as are several zoos and bird parks with notable crane collections. Descriptions of 16 North American annual crane festivals and information on more than 50 birdfinding guides from regions, states, and provinces where cranes are most likely to be seen are included. Lastly, there is a sampling of American, European, and Oriental crane folklore, legends, and myths. The text contains more than 50,000 words and nearly 350 literature references. There are more than 40 drawings and 3 maps by the author and 19 color photographs by Thomas D. Mangelsen.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".