A Petersen Type ‘M’ Sword in the Naval Academy’s Collections: Viking History Meets the Modern Navy
Bibliographic record
Abstract
Sometime between 850-950 CE a 91cm single-edged sword was forged in Viking Age Norway. Eventually, that sword was placed in the earth, likely buried alongside its owner. Roughly 1,000 years later (in 1957), that sword was presented to the brigade of midshipmen at the United States Naval Academy by President Eisenhower. The artifact has the distinction of being the oldest weapon in the Naval Academy’s possession. This essay considers what forensic and archaeological evidence can tell us about the sword’s hitherto unknown history and also explores this artifact’s modern provenance and connection to US-Norwegian maritime relations in the mid-twentieth century. Entre 850 et 950 EC, une épée à un tranchant de 91 cm a été forgée dans la Norvège de l’ère des Vikings, puis elle a été enterrée, probablement aux côtés de son propriétaire. Environ 1 000 ans plus tard (en 1957), le président Eisenhower a présenté l’épée à la brigade d’aspirants de marine à l’Académie navale des États-Unis. L’artéfact a la particularité d’être la plus ancienne arme en la possession de l’Académie navale. Le présent article traite de ce que les preuves médico-légales et archéologiques peuvent nous dire au sujet de l’histoire jusqu’ici inconnue de l’épée et examine la provenance moderne de cet artéfact ainsi que son rapport aux relations maritimes américano-norvégiennes au milieu du 20e siècle.
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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 | 0.002 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".