Bibliographic record
Abstract
Promoted as virtually unsinkable, the ultimate luxury liner, the largest ship in the world, the RMSTitanicsank on its maiden voyage in April 1912, taking some 1,500 people to their death. Aboard the ship were the wealthy and famous as well as hundreds of immigrants seeking a new life in America. The most dramatic marine disaster of modern times, theTitanictragedy captured the interest and imagination of the entire world. The intensity of interest in the catastrophe has increased, particularly after discovery of the wreck off the coast of Newfoundland in the mid-1980s. The resulting literature is vast, including both scholarly and popular sources. Covering more than the published literature, the book also surveys memorabilia, artifacts, cultural icons, music, film, and exhibitions. Divided into three sections, the work opens with a historiographical survey of the literature, then includes descriptive lists of more peripheral material, and concludes with a bibliography of 674 entries. All items covered in the historiographical survey are included in the bibliography. This useful guide will appeal to researchers - both laymen and scholars - interested in theTitanic.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.232 | 0.102 |
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".