Bibliographic record
Abstract
Encyclopedia of the World's Coastal Landforms is an account of the various kinds of coastal morphology found on the world's coastlines.It is presented in 224 chapters, based on national, state, or county divisions, and arranged in a sequence that proceeds counterclockwise around the continents.Th e sequence begins with Alaska, proceeds around North America to Arctic Canada, then Greenland and fi nally, Iceland.Another counterclockwise sequence begins with Norway and proceeds by way of Europe and the Mediterranean around Africa to India, Southeast Asia, China, Korea, and the Pacifi c and Arctic coasts of Russia.Interruptions are made at appropriate points to include the Great Lakes, the Caspian Sea, and islands such as Britain, Madagascar, and Japan.Th e sequence is completed with the Philippines, Indonesia, Papua New Guinea, Australia, New Zealand, the islands of the Pacifi c, Atlantic, and Indian Oceans, and fi nally Antarctica.Th is work was preceded by Th e World's Coastline, edited by Eric C. F. Bird and Maurice L. Schwartz and published by Van Nostrand Reinhold, New York, in 1985
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.053 |
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".