Bibliographic record
Abstract
Chip Wolfe, CTT3, US Navy Biography. Chip Wolfe served in the U.S. Navy from 1990-’94. He trained at the Naval Training Center Orlando and the Navy Technical Training Center, Corry Station in Pensacola, emerging in the intelligence field as a Cryptologic Technician, Technical (CTT3). Specialized training included Subsurface Augmentee Operator and a Top Secret security clearance. After training Chip’s orders took him to the Naval Security Group, Misawa, Japan where he was stationed for the remainder of his enlistment (nearly 3 years). He specialized in enciphered communications, high-frequency direction finding, and search and rescue. In 1993 he received the Sailor of the Quarter for being the first to intercept and report on a highly sought after target transmitting out of South Korea. While in Japan he took up many hobbies, many of which he still engages in today. Chip climbed to the top of Mt. Fuji (12,388ft), competed in his first mountain bike race, represented his base at the West-Pacific games in racquetball (placing 4th), and took up snowboarding on the powder fields of Northern Japan.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.357 | 0.181 |
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".