10 of Thursday's headlines in 1 minute
Bibliographic record
Abstract
10 of Thursday's headlines read in less than 60 seconds: 10 in 1 on Rivet. A 6.2 magnitude earthquake hits Japan. North Korea's readying a possible launch of one or two mid-range missiles that theoretically could reach US forces in Guam. It 'sucks' to be ISIS, according to a top Pentagon official, to summarize the US's 'cyberbombing' of the terrorist group. Canada's new assisted suicide law'll be for Canadians only. A lighter and thinner Kindle's on the way, this one with longer battery life. Microsoft's suing the US, saying it violated constitutional rights of free speech and protection against unreasonable searches. Male fertility could be hurt by using sunscreen, according to a new study out of Copenhagen. Just one week after his major league debut, Phillies' relief pitcher Daniel Stumpf's suspended for 80 games. He tested positive for performance-enhancing drugs. In canned precooked meat news, Spam's going to be tweaking its recipes for Spam Lite and Spam Less Sodium. Finally, a group of ninth-grade girls in Des Moines hired a male stripper to perform at their school's synchronized swimming club's annual banquet. The school principal's considering whether school policies've been violated.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 0.002 |
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".