Bibliographic record
Abstract
Spare a moment of pity for an old fellow named Jared who was first mentioned in the early chapters of the Bible, in the book of Genesis. You have certainly heard of his famous grandson Methuselah, aka the oldest living person in the Bible. Methuselah, of course, is synonymous with longevity, old age, and great genes. Entire tomes have been dedicated to Methuselah and his drawn-out life. Books such as The Death of Methuselah , by Isaac Bashevis Singer, or Back to Methuselah , by George Bernard Shaw, have made him one of the most famous literary figures – or pensioners – in Western history. The Oscar-winning British actor Sir Anthony Hopkins played him in the movie Noah and the great American writer Samuel Langhorne Clemens (aka Mark Twain) penned a story with Methuselah as the central character. No fine essayist passed him by. For those of you who aren't familiar with the story, it is said that Methuselah lived to the astounding age of 969. That is 11,628 months, or 353,685 days on earth. It is no surprise that his diet, genes, many probable marriages – and even his investments – have been the subject of intense curiosity for centuries. And yet, his grandfather Jared – a man I suspect most of you have never heard of until now – lived to the equally unbelievable age of 962 years. Yes, you guessed it. He was the Bible's second-oldest literary figure. Second place garners no books, Nobels, or gene patents, hence the pity. It was quite the family, though. Methuselah's grandson Noah – the famed sailor and nautical zookeeper – lived 950 years, which is slightly less than two decades short of Methuselah's remarkable feat, placing him in the number-three position. Noah (aka Russell Crowe) needs no introduction or any more fame. (Hey, just try booking him for a speaking engagement these days.) Moving on to number four in the biblical Guinness book of records we find Adam. Yes, the first.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.419 | 0.326 |
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".