Bibliographic record
Abstract
Born in Vienna, Austria, shortly before the Austro-Hungarian Empire lost its access to the sea, Walter Munk became a leading geophysicist and physical oceanographer after being sent to school in New York State and later moving west to California. He and Harald Sverdrup developed wave prediction schemes that were used by the Allies in World War II to evaluate whether amphibious landings would be feasible. His post-war research included further major contributions to the understanding of ocean waves, as well as ocean circulation, tides, internal waves, mixing processes and many other phenomena. He showed how variations in the Earth's rotation contained a wealth of valuable geophysical information and was an instigator of the ‘Mohole’ project that failed for political reasons but paved the way for the Deep Sea Drilling Project. Although primarily a theoretician, throughout his career he was an enthusiastic adopter of new technologies and data analysis techniques. He showed how acoustic transmissions could be used to map ocean eddies and currents as well as to monitor temperature changes of whole ocean basins. He was a key adviser to the US Navy and a dedicated member of the science advisory group, JASON, that focuses on national security. As well as his scientific contributions, his legacy includes the La Jolla Institute of Geophysics and Planetary Physics. He was liberal in his political outlook, gregarious, hospitable and treated everyone, from undergraduate to admiral, with the same interest and respect.
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 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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".