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Record W7056772833

Former U.S. Department of Commerce deputy secretary to teach course at UGA School of Law

2006· article· en· W7056772833 on OpenAlexaboutno aff

Bibliographic record

VenuePress Releases · 2006
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
Fundersnot available
KeywordsHonorPoliticsLegal educationLegal professionPosition (finance)GovernorWhite (mutation)
DOInot available

Abstract

fetched live from OpenAlex

Tuesday, June 13, 2006 WRITER: Kerri Wilson, 706/542-5172, lawcomm@uga.edu CONTACT: Ted Kassinger, 202/383-5170, tkassinger@omm.com Paul Kurtz, 706/542-7140, pmkurtz@uga.edu Former U.S. Department of Commerce deputy secretary to teach course at UGA School of Law ATHENS, Ga. – This fall, former U.S. Department of Commerce Deputy Secretary Theodore (Ted) W. Kassinger will teach an international trade law and policy course at the University of Georgia School of Law. Kassinger is a 1978 Georgia Law alumnus who has extensive experience in international legal matters. He will be joining the law school as the Carl E. Sanders Political Leadership Scholar, a position named for Georgia's 74th Governor, who is also a Georgia Law alumnus. School of Law Dean Rebecca H. White said the Sanders Political Scholar position allows the students to learn from individuals who have distinguished themselves as leaders in public service. "We are grateful to Governor Sanders for his support of this prestigious teaching post that aims to expose students to the roles of law and lawyers in shaping public policy. And we are grateful that a lawyer and public servant of Ted Kassinger's caliber will be holding this position." Associate Dean for Academic Affairs Paul M. Kurtz said he is also excited Kassinger will be teaching at the law school. "It is an honor for our students to have the opportunity to learn from someone with Ted's credentials and reputation. The fact that he is an alumnus makes it that much more special for the students and for the school." Currently a partner at O'Melveny & Myers, where he co-chairs the firm's Global Trade Practice Group and is a member of its Strategic Counseling Practice Group, Kassinger has an impressive record of public service. He has served as deputy secretary and as general counsel of the U.S. Department of Commerce, as attorney-advisor at the U.S. Department of State and the U.S. International Trade Commission, and as international trade counsel for the U.S. Senate Committee on Finance. His private practice experience includes more than 16 years at Vinson & Elkins, where he specialized in transnational business transactions, regulatory matters and dispute resolution. Most recently, Kassinger co-authored "Beyond NAFTA: A New Partnership for Common Security and Prosperity in North America" in the Canada-United States Law Journal and authored "Commercial Law Reform Issues in the Reconstruction of Iraq" in the Georgia Journal of International and Comparative Law. A native of Athens, Ga., Kassinger earned his bachelor's and law degrees from the University of Georgia. He earned his Juris Doctor cum laude and served as the notes editor of the Georgia Law Review. Previous Sanders Political Scholars include former Georgia Supreme Court Justice George T. Smith and former U.S. Sen. J. Maxwell "Max" Cleland. ##

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.489
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4890.307

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 head0.019
GPT teacher head0.254
Teacher spread0.234 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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