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Record W214317054

Eba Climate Change Primer: Cap and Trade

2008· article· en· W214317054 on OpenAlexaboutno aff
Bill Westerfield

Bibliographic record

VenueEnergy law journal · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsLawManagementPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Energy Bar Association Presentation - November 30, 2007 PANELISTS BRIAN MCLEAN Director, Environmental Protection Agency Office of Atmospheric Programs DALLAS BURTRAW, PH.D. Senior Fellow Resources for the Future FRANZ LITZ Senior Fellow World Resources Institute JEFF KING Credit Suisse MODERATOR: Good morning everyone. My name is Bill Westerfield. I practice law for Ellison, Schneider & Harris in Sacramento, California and I'll be moderating the first panel and I would like to welcome you all here for the much anticipated carbon regulation panel on design elements for a national cap trade system. Before we get started, I would like to first of all recognize some of my colleagues on the renewables committee this year. Monica Schwebs, my cochair, Gearold Knowles, the vice chair, Lynn Fountain, Jim Ruben, and a number of other Renewables Committee members who have been very generous with their time and just a pleasure to work with. So, thank you all very much. And also I would like to mention a few logistics. We will be taping this panel for transcription in a later edition of the Energy Bar Journal so I remind the panelists to enunciate as best they can and speak clearly into the microphones and especially during question time. As for questions from the audience, we ask that you go to the microphone with your question, or if you like, ask for a microphone where you sit and speak your question into the microphone. This way we can accurately record your insightful questions. Also, some of our presentations did not make it into tne materials today so if you would like a copy, we can make those available, just please see Mario Brown or Lorna Wilson and they can make arrangements. Before I introduce our speakers, I would like to make just one comment on my point of view. In yesterday's excellent panel on the prospect for national carbon legislation, I heard that there are still members of Congress who think that global warming is not a big problem, not a big deal. Well I think it is a big problem. It is the biggest problem that we will face as a civilization in our lifetime. It is not just my opinion but the opinion, no the consensus, of the world's leading scientists that warming of the climate is unequivocal and that we are in a crisis now. I suggest if you want to scare your socks off, take a look at the Synthesis Report of the Inter-Governmental Panel on Climate Change, Fourth Assessment Report. Its warnings are very, very profound and dire. So, the time now is for action and the debate should center on how to take that action. We have a great deal of consensus now that cap-andtrade will be the consensus approach and so now it is a question of how we construct that. Today, we have four very knowledgeable speakers on how to craft cap-and-trade legislation to help us to think through that question. Our first speaker will be Brian McLean. Mr. McLean is Director of the Environmental Protection Agency's Office of Atmospheric Programs. His office has a professional staff of 250 and is responsible for designing and implementing emissions cap-and-trade programs such as the Acid Rain Program and the Clean Air Interstate Rule. His office is also responsible for developing EPA's voluntary climate protection programs and for analyzing climate legislation and supporting domestic and international climate policy developments, as well as for implementing the stratospheric ozone protection program under the Montreal Protocols. Previously, Mr. McLean served for twelve years as Director of the Clean Air Markets Division, which develops and manages market-based emissions reductions programs. Mr. McLean has been at EPA since 1972, and he was a key contributor to the development of Title IV of the 1990 Clean Air Act and the Acid Rain Program. He holds a Bachelor's Degree in electrical engineering from Lafayette College, a Master's Degree in City and Regional Planning from Rutgers University and a Doctorate in City Planning from the University of Pennsylvania. …

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.115
GPT teacher head0.230
Teacher spread0.115 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2008
Admission routes1
Has abstractyes

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