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Record W2076690352 · doi:10.31235/osf.io/gwnjq

BOUNDARIES, BREACHES, AND BRIDGES: THE CASE OF CLIMATEGATE

2017· article· en· W2076690352 on OpenAlex
Raghu Garud, Joel Gehman, Arvind Karunakaran

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLegitimacyCredibilityWrongdoingBoundary-workPolitical scienceBoundary (topology)Public relationsWork (physics)The InternetEngineering ethicsInternet privacyLaw and economicsLawSociologyEngineeringComputer scienceWorld Wide WebSocial science

Abstract

fetched live from OpenAlex

We examine the incident known as “Climategate” in which emails and other documents relating to climate scientists and their work were illegitimately accessed and posted to the Internet. The contents of the files prompted questions about the credibility of climate science and the legitimacy of some of the climate scientists’ practices. Multiple investigations unfolded to repair the boundary that had been breached. While exonerating the scientists of wrongdoing and endorsing the legitimacy of the consensus opinion, the investigating committees suggested revisions to some scientific practices. Despite this boundary repair work, the credibility and legitimacy of the scientific enterprise were not fully restored in the eyes of several stakeholders. We explore why this is the case, identify boundary bridging approaches to address these issues, and highlight policy implications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.052
GPT teacher head0.362
Teacher spread0.310 · 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

Quick stats

Citations9
Published2017
Admission routes1
Has abstractyes

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