Now for Sale: Oldest Paperweights
Bibliographic record
Abstract
![Figure][1] CREDIT: SSPL/GETTY IMAGES Where are those Consumer Reports people when you need them? Prospector and mine worker Mark Brown of Yellowknife in the far north of Canada has got a deal for you: a fist-size chunk of the planet's oldest known rock for just $149.99 (Canadian), $249.99 with a nifty pyramidal display case. Brown has a claim on a remote island in the Acasta River, 300 kilometers north of Yellowknife, that contains gneiss that formed 4.03 billion years ago, little more than half a billion years after Earth did. “Not what I would say is the flashiest of rocks,” says Brown in his 10-minute promotional video ( ), “but I find it very, very inspiring.” But geochronologist Samuel Bowring of the Massachusetts Institute of Technology in Cambridge, who dated the famed Acasta gneiss with colleagues, warns that similar-looking rock at the site is hundreds of millions of years younger. Brown “has no way of guaranteeing” that his samples are in fact the oldest rock, Bowring says. Aside from that, the offering doesn't really bother him. “If selling that rock exposes a bunch of people to the fact that Earth is 4.6 billion years old, it's a good thing.” [1]: pending:yes
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.948 | 0.928 |
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".