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Record W2102547396 · doi:10.7202/1014346ar

Brief Periods of Sunshine: A History of the Canadian Government’s Attempt to Build a Solar Heating Industry, 1974-1983

2013· article· en· W2102547396 on OpenAlexaffvenueabout
Henry Trim

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicResearch, Science, and Academia
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGovernment (linguistics)DemisePoliticsSolar energyObjectivity (philosophy)IdeologyPolitical scienceSolar powerPolitical economyEngineeringPower (physics)SociologyLawElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

In the 1970s a worldwide energy crisis wracked Canada. Searching for ways to provide energy for Canada’s future, the Canadian government encouraged the development of a new technology: solar heating. The political and economic needs of the Trudeau government and Department of Energy, Mines, and Resources dominated the Canadian solar heating industry from its inception in 1978 until its demise in 1983. Partisan politics, however, were not the only important influence on solar energy in Canada. Technologies of simulation and prediction, as well as the Canadian government’s adherence to the ideology of objectivity, also shaped the history of solar heating in Canada. By analyzing the role of simulation, “objectivity,” and political power in the rise and fall of the solar industry, this essay hopes to illuminate the importance of government in the Canadian history of technology and begin to provide a history of Canadian solar technology and industry.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.902

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0330.013
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.047
GPT teacher head0.301
Teacher spread0.254 · 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 designQualitative
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

Citations35
Published2013
Admission routes3
Has abstractyes

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Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicResearch, Science, and AcademiaFrench-language works237,207