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Record W1583724601

Greenhouse Gases and Global Change: A Challenge for Canadian Geoscience

2006· article· en· W1583724601 on OpenAlexaffvenueabout
David J. W. Piper

Bibliographic record

VenueGeoscience Canada · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsBedford Institute of OceanographyGeological Survey of Canada
Fundersnot available
KeywordsMainstreamClimate changeGreenhouse gasGlobal warmingUncertaintyPrincipal (computer security)Precautionary principleEarth system scienceEnvironmental ethicsPolitical scienceEarth scienceEcologyGeologyLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

Climate change is the most pressing societal issue of our time. The Canadian geological community is deeply divided as to whether or not anthropogenic carbon dioxide is the principal driver of the global warming that we see around us. As geologists, we have the scientific understanding to be effective stewards of Planet Earth and thus have a critical role to play in the climate change debate. Many of the basic scientific principles in this debate, however, are more a matter of atmospheric physics than classical geology: this may be one reason why so much uncertainty continues in the geological community. Also, we have a professional responsibility to inform ourselves and our colleagues beyond the level of knowledge of the general public. We must apply the precautionary principle in assessing the response of the Earth to human activity. We should learn from the engineering and medical communities that our students should be well educated in fundamental principles and that a balanced assessment of issues should be presented to the public and decision-makers. The scientific debate over climate change should be carried on at mainstream meetings and in the peer-reviewed literature.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.696

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 studies0.0010.001
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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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 designObservational
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
Published2006
Admission routes3
Has abstractyes

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