Sea level rise and the ongoing Battle of Tarawa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
At dawn on 20 November 1943, U.S. marines launched an assault on Tarawa, a Japanese‐held atoll in the British Protectorate of the Gilbert and Ellice Islands. The water in the lagoon was only 3 feet deep that morning, less than the 4–5 feet required by a fully loaded personnel carrier to navigate the waters. As a result, marines saddled with equipment were forced to wade almost a mile across the lagoon under heavy Japanese fire. The United States won the Battle of Tarawa, but it proved to be one of the bloodiest battles of the war; almost 6000 Japanese, Americans, and Gilbertese were killed in just 3 days of fighting. Of the American fatalities, almost half occurred because U.S. military planners ignored warnings about the local tides on the morning of the assault [e.g., Wright, 2000].
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.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it