Bibliographic record
Abstract
Submarine Landslides: An Introduction 1By RIo Lee, W.C. Schwab, and J.S. BoothU.S. Atlantic Continental Slope Landslides: Their Distribution, General Anributes, andImplications 14By J.S. Booth, D.W. O'Leary, Peter Popenoe, and W.W. DanforthSubmarine Mass Movement, a Formative Process of Passive Continental Margins: TheMunson-Nygren Landslide Complex and the Southeast New England LandslideComplex 23By D.W. O'LearyThe Cape Fear Landslide: Slope Failure Associated with Salt Diapirism and GasHydrate Decomposition 40By Peter Popenoe, E.A. Schmuck, and W.P. DillonAncient Crustal Fractures Control the Location and Size of Collapsed Blocks at theBlake Escarpment, East of Florida 54By W.P. Dillon, J.S. Risch, K.M. Scanlon, P.C. Valentine, and Q.J. HuggettTectonic and Stratigraphic Control on a Giant Submarine Slope Failure: Puerto RicoInsular Slope 60By W.C. Schwab, W.W. Danforth, and K.M. ScanlonSlope Failure of Carbonate Sediment on the West Florida Slope 69By D.C. Twichell, P.C. Valentine, and L.M. ParsonSlope Failures in an Area of High Sedimentation Rate: Offshore Mississippi RiverDelta 79By J.M. Coleman, D.B. Prior, L.E. Garrison, and H.J. LeeSalt Tectonics and Slope Failure in an Area of Salt Domes in the Northwestern Gulfof Mexico 92By B.A. McGregor, R.G. Rothwell, N.H. Kenyon, and D.C. TwichellSlope Stability in Regions 01 Sea-Floor Gas Hydrate: Beaufort Sea ContinentalSlope 97By R.E. Kayen and H.J. LeeMass Movement Related to Large Submarine Canyons Along the Beringian Margin,Alaska 104By P.R. Carlson, H.A. Karl, B.D. Edwards, J.V. Gardner, and R. HallComparison of Tectonic and Stratigraphic Control of Submarine Landslides on theKodiak Upper Continental Slope, Alaska 117By M.A. HamptonSubmarine Landslides That Had a Significant Impact on Man and His Activities:Seward and Valdez, Alaska 123By M.A. Hampton, R.W. Lemke, and H.W. CoulterProcesses Controlling the Style of Mass Movement in Glaciomarine Sediment:Northeastern Gulf of Alaska 135By W.C. Schwab and H.J. LeeContents VVI ContentsLiquefaction of Continental Shelf Sediment: The Northern California Earthquakeof 1980 143By M.E. FieldA Submarine Landslide Associated with Shallow Sea-Floor Gas and Gas Hydratesoff Northern California 151By M.E. Field and J.H. Barber, Jr.Sur Submarine Landslide, a Deep-Water Sediment Slope Failure 158By C.E. Gutmacher and W.R. NormarkSeismically Induced Mudflow in Santa Barbara Basin, California 167By B.D. Edwards, H.J. Lee, and M.E. FieldSubmarine Landslides in a Basin and Ridge Setting, Southern California 176By M.E. Field and B.D. EdwardsGiant Volcano-Related Landslides and the Development of the Hawaiian Islands 184By W.R. Normark, J.G. Moore, and M.E. TorresanSubmarine Slope Failures Initiated by Hurricane Iwa, Kahe Point, Oahu, Hawaii 197By W.R. Normark, Pat Wilde, J.F. Campbell, T.E. Chase, and Bruce Tsutsui(PDF contains 210 pages)
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.992 | 0.994 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".