Bibliographic record
Abstract
In 1920, King Alexander of Greece died from a monkey bite. His sudden, untimely death was one of the first in a series of disasters that ultimately led to the Greek Catastrophe in Asia Minor of 1922. Who cares? Well, in this piece I wanted to make the point that history is full of strange, absurd events. There is always the element of chaos underneath everything. In Greece, there are innumerable nationalist documentaries exploring the actions of men like Eleftherios Venizelos (women are notably absent, of course) but there is no acknowledgement of chance as a determining factor in history. There are even conspiracy theories about Alexander's death that point to his doctors; people find it truly unthinkable that a king - especially a Bavarian/Danish import - could die from the infected bite of a monkey. I wasn't trying to say anything nasty about Greece in this film. Really, if anything, I believe modern Greek history should not be considered the exclusive domain of Theo Angelopoulos. History is not necessarily solemn and stiff; it's not even a narrative. Actually, it's peculiar, interesting and sometimes funny. And if truth be told, all nations are haunted by the ghosts of chaos and brutality. Winston Churchill said, 'It is perhaps no exaggerration to remark that a quarter of a million people died from this monkey bite.'
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 | 0.000 | 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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; both teacher heads agree on what is shown here.
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".