The Arctic cruises of Prince Albert I of Monaco
Bibliographic record
Abstract
ABSTRACT From an early age, Prince Albert I of Monaco evinced a strong fascination for the polar regions. But it was only after 1898 that he was able to mount four scientific cruises to Svalbard on his yacht, the second Princesse-Alice. The first cruise was an oceanographical and zoological reconnaissance, aimed mainly at adding to the collections of the Musée océanographique de Monaco, the construction of which had just started. In 1899, the focus was on the hydrography and topography of Raudfjorden, of which a map was published. In 1906, meteorology was added to the range of observations and surveys were pursued. The Prince also provided support for two other expeditions, that of the Norwegian, Gunnar Isachsen, to northwestern Spitsbergen, and that of the Scotsman, William Bruce, to Prins Karls Forland. The Prince's expedition in 1907 was aimed at completing the results from the previous summer. Prince Albert also lent his support, either financially, or through gifts or loans of oceanographic instruments, to numerous Arctic and Antarctic explorers. Finally, he showed a keen interest in environmental protection, especially in Svalbard. This is demonstrated by his responses to a questionnaire that Hugo Conwentz sent him in 1912.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".