Inertial Modes in the Earth'S Fluid Outer Core
Bibliographic record
Abstract
Several inertial waves previously identified by Aldridge and Lumb [1987] in the long period gravimetric data of Melchior and Ducarme [1986], have been observed in a record from the same laboratory over 1440 days during the period 1982 to 1986. In the original data, collected following the Mindanao (20 November 1984) and Hindu Kush (30 December 1983) earthquakes, 8 inertial waves were tentatively identified by close proximity of their frequencies to those of a Poincaré Earth model for the fluid outer core. All of the waves identified in the earlier record persist in the longer record, thus verifying the significance of the earlier identification. All the waves decay more rapidly than would be expected from Ekman dissipation which suggests other mechanisms, possibly of hydromagnetic origin, for the damping of these waves. Alternatively the waves may be critically damped due to irregularity in the core-mantle boundary (CMB). Both of these models and others for the decay of the observed waves can be directly evaluated using the high-quality gravimetric data which is now available. The inertial waves identified here will serve as a precise tool for subsequent evaluation of models for core dynamics and the geodynamo.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".