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Record W7093429913

Chip Wolfe

2021· article· W7093429913 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2021
Typearticle
Language
FieldChemistry
TopicChemistry and Stereochemistry Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNavyTraining (meteorology)ChipQuarter (Canadian coin)Base (topology)Center (category theory)
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.027
GPT teacher head0.215
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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