Bibliographic record
Abstract
During the 2016 Olympic games in Rio, the dialogue between the ancient and modern Olympics was enriched by the comparison between Leonidas of Rhodes (crowned 12 times at Olympia from 164 to 152 bc in the stadion, diaulos, and hoplitodromos) and the internationally acclaimed U.S. swimmer Michael Phelps (winner of 13 individual Olympic gold medals from 2004 to 2016). Decided by medal count, the two most decorated Olympic victors of all time seemed to abridge a cultural distance of 2168 years. After reviewing all extant sources about Leonidas of Rhodes, this paper examines three other exempla of Olympic victors, Diagoras of Rhodes (boxing, crowned 464 bc), Ladas of Argos (dolichos [5 km], crowned 460 bc), and Spiridon Louis (Marathon race, 1896 Athens Olympics), with special emphasis on the reception of their victories. In the cases of Diagoras and Ladas, my analysis identifies the analogies between a death sealed by Olympic glory and the paradigms of Tellos and Kleobis and Biton in Herodotos 1.31. The significance of Spiridon Louis’ victory for the nascent modern Greek state is discussed within the framework of the first Marathon race. By revisiting societal attitudes towards distinguished athletic winners then and now, this paper also engages in a discourse on the relationship between the ancient and modern Olympics.
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 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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".