MétaCan
Menu
Back to cohort
Record W2562781453

Graduate Education Programs in Wind Energy

2015· article· en· W2562781453 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the North American Wind Energy Academy (NAWEA) is to facilitate the growth of wind power into a cost-effective, high-penetration, sustainable national energy source producing at least 10 times the 2012 electricity production levels. To meet this energy goal, the academy will expedite the creation of a critical new wind energy research and development agenda that bridges education, multiple disciplines, and diverse organizations, and fosters national and international collaborations. The overall goal of the NAWEA Educational Program is to expand the breadth and competence of the wind energy academic community throughout the region by working collaboratively to develop relevant curriculum, courses, degree programs, and/or certificates, with the ultimate objective of enabling the US to meet its wind energy goals. The first steps taken by the NAWEA Education Committee in addressing its goals were to articulate a set of potential educational programs of interest to its members, focusing on university graduate and undergraduate programs, with an emphasis on graduate education. These programs were inspired by the discussions and presentations at the 2013 NAWEA Symposium in Boulder, Colorado, and include wind energy course and program certification, and a graduate certificate in wind energy. Before proposing any new programs, however, it was decided that a thorough review of existing programs in the US and abroad was merited. This review showed that there are at least 45 four year educational institutions in the US that currently have wind energy engineering courses, with most offering a technical undergraduate course on the subject and with 20 offering graduate courses on the subject. Of the institutions offering graduate programs 40 have MS programs and 30 have programs that offer both MS and PhD programs. In addition, at least six schools offer a Graduate Certificate in Wind Engineering. Another area of interest here is the schools that have established wind energy centers, or renewable energy centers that include wind engineering. Fifty-seven such centers were identified. Expanding the scope of this outside of the US but within the footprint of NAWEA, 12 wind energy graduate programs were identified in Canada. In Mexico, the Mexican Center of Innovation in Wind Energy (Centro Mexicano de Innovación en Energia Eólica, CEMIE-Eólico) was found to have 14 university participants out of its 32 founding members. In Europe, the wind energy education programs are somewhat more advanced than in North America. There are quite a number of wind energy education programs in Europe. The most notable of these are affiliated in some way with the European Master in Renewable Energy or the European Academy of Wind Energy (EAWE). With regards to EAWE, there are about 65 universities participants across Europe. The purpose of this presentation will be to summarize the existing programs in wind energy, both in North America and Europe, and to describe the content of typical wind energy graduate programs. Discussion will then be directed at a proposal for a graduate certificate in wind energy that leverages the resources available at NAWEA member universities and partners, with the intent of collaborating on offering a robust and rigorous set of courses focused on wind energy, beginning with engineering but potentially spanning the range of applicable subject areas from business and policy to environment and engineering. The focus here is to enable training of graduate-level students that will be integral to advancing ideas, business, and engineering.

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.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.069
GPT teacher head0.316
Teacher spread0.247 · 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