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Record W319832067

Revisiting the Nuclear Power Option

2009· article· en· W319832067 on OpenAlexaboutno aff
Harry T. Roman

Bibliographic record

Venue˜The œtechnology teacher/˜The œTechnology teacher · 2009
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsNuclear powerElectricityBattlePower (physics)Order (exchange)BusinessEconomicsEngineeringElectrical engineeringFinanceHistory
DOInot available

Abstract

fetched live from OpenAlex

Technologies can be hot buttons for controversy, especially if it has anything to do with nuclear energy. Undoubtedly, nuclear power plants generate a significant portion of our nations electricity, and to shut them down would impose severe shocks to the economy and our electricity bills. Such plants do have some very important benefits such as no greenhouse gas emissions, no use of petroleum fuels, and no dependence on foreign sources for fuel supply. But in the heat of philosophical battle, opposing sides don't always hear each other or listen without bias. If there is anything that will impact how technology is accepted, it is likely to be the public's preconceived notions and how the popular press in all its forms (print, TV, radio) influences their opinions. It is often many times more powerful than any technological fix that scientists or engineers can apply. The challenge for your class here is to revisit this controversial power-generation option and develop ideas for reinvigorating this technology. [ILLUSTRATION OMITTED] Getting Started The first order of business is to understand how nuclear power plants operate as well as what leads to the ever-present controversy surrounding them. How old is this technology? Where are the plants located? What has been their performance record? What are the concerns about these plants today, and how is that different from other types of power-generation technologies? [ILLUSTRATION OMITTED] Information abounds about this topic, so finding references should not be a problem; but it is important that students read both the pro and con side of the arguments. Balance of perspective is essential if students are to make meaningful suggestions about how to rebirth the technology. You will find there are major points of contention about: * Plant safety * Radioactive leaks * Cost of the plants * Storage and transportation of spent fuel * Possible attack by terrorists * Useful lifetime of the plants * Aging plants * Fuel recycling There are also new ideas being talked about for radically different nuclear power plants, inherently safer and less prone to leaks. This is food for new ideas about transitioning the existing technology to something perhaps more acceptable. When citizens do not understand what a technology is or what it can do, there is sometimes a deep-seated fear about it. Nuclear power is no exception. Have the students ask around about what people know and fear about nuclear power and why. Try to have the students be very specific about how they ask questions and dig deeply to determine: * How much people really understand about how nuclear plants work. * What sources of information they have read to arrive at their conclusions. * What things trouble them the most about nuclear plants. * If they are willing to listen to new nuclear power ideas. Here students can talk to their parents, other teachers, extended family, and friends to develop an appreciation about how people view this technology. France obtains close to 70% of its electricity from nuclear power plants. Germany, Japan, England, Spain, and Canada also use nuclear power. What are their opinions of the technology? Why is France so comfortable with the technology? Are some other countries moving away from it and why? We have had nuclear-powered ships for over 50 years, so what's all the fuss about nuclear power on land? [ILLUSTRATION OMITTED] Is it possible to invite pro and con advocates to your classroom to discuss the technology and address the points of contention? …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.007
GPT teacher head0.218
Teacher spread0.210 · 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 designNot applicable
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
Published2009
Admission routes1
Has abstractyes

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