[November 17 2006] Travus T. Hipp Morning News & Commentary: It's A Question Of Style: The U.S. IS Going To Leave Iraq, But How Will We Do That Without Admitting 'We Lost The War'?
Bibliographic record
Abstract
In The News: Kidnapping In Iraq: Five U.S. mercenaries have been captured along with their European counterparts. Official Iraq Invasion U.S. DEATH TOLL: 2863. 4 yesterday... 2 in Nassirya, 2 in al-Anbar. 2200 more Marines to be injected into al-Anbar for a siege on the provincial capitol. President Bush in Hanoi Vietnam today for the APEC conference without a trade agreement in hand. The Republican leadership caucus met this morning and they will stick with their current ethically-challenged leadership. The Army private who rolled over on his partners in the rape/killing of an Iraqi teenager and her family will get life in a military prison. That means that the soldiers he spoke of will most likely face the death penalty. "All The News You Never Knew You Needed To Know ...Until Now." Travus T. Hipp - Cabale News Services
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.180 | 0.118 |
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".