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Record W2139950897 · doi:10.14430/arctic144

Ignoring the Elephant in the Room: The Carbon Footprint of Climate Change Research

2009· article· en· W2139950897 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.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
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

VenueARCTIC · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Environmental Impact
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNasivvik Centre for Inuit Health and Changing EnvironmentsUniversity of Calgary
KeywordsClimate changeCarbon footprintEnvironmental sciencePhysical geographyFootprintEnvironmental resource managementGeographyEnvironmental protectionOceanographyGreenhouse gasGeologyArchaeology

Abstract

fetched live from OpenAlex

"Despite some ongoing raving from a fringe minority of attention seekers and professional refuters funded by the oil companies, most scientists now accept that climate change is a reality and that human activity is the root cause. Many scientists have worked tirelessly to ensure the science is solid, and each new study contributes to understanding the big picture. In all of this, scientists should be immensely proud. Global efforts to convince the general public that climate change is a reality and that our collective actions need to change have been much less successful. Perhaps this failure stems from the misguided notion that climate change is really only an environmental issue, not a social problem."

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)0.002
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 score0.339
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.141
GPT teacher head0.348
Teacher spread0.207 · 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