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Record W7068210571

New World Notes 215 - Peak Oil, Peak Natural Gas, Peak Electricity... (Part 1)

2012· other· en· W7068210571 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2012
Typeother
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsNatural (archaeology)Investment (military)Energy (signal processing)PetroleumOil and natural gasPolitics
DOInot available

Abstract

fetched live from OpenAlex

30-minute radio program for April 17, 2012. First of 2 parts. It's not just oil. With growing demand and declining supplies, all forms of energy will soon become very expensive. No alternative sources can produce as much energy as we are now obtaining from oil and natural gas--both of which are in decline. Some proposed alternatives (hydrogen, ethanol) are pipe-dreams. Is this the end of The American Way of Life? Probably. Several experts lucidly explain what's happpening and what we have to do. Experts speaking here include several petroleum scientists and engineers, urban planners James Howard Kunstler and Peter Calthorpe, energy investment broker Matthew Simmons, political analyst Michael Ruppert, and journalist Barrie Zwicker (narrator). Condensed and adapted by K.D. from the 2004 documentary film, "The End of Suburbia." http://newworldnotes.blogspot.com/ . Permanent link to the entry for this installment: http://newworldnotes.blogspot.com/2012/04/peak-oil-peak-natural-gas-peak.html

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.318
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6820.604

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 head0.188
Teacher spread0.181 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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