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Record W2783609345 · doi:10.1080/09644016.2018.1425106

Framing trans-border energy transportation: the case of Keystone XL

2018· article· en· W2783609345 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Politics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsWestern UniversityKing's University College
Fundersnot available
KeywordsFraming (construction)Pipeline transportNatural resourcePolitical scienceMedia coverageBusinessEnvironmental resource managementPublic administrationEconomicsEngineeringSociologyLawCivil engineering

Abstract

fetched live from OpenAlex

Increasing discussion over the safety of natural resource extraction and transportation to facilitate international energy needs has given rise to controversy over the prospect of large quantities of bitumen and crude oil flowing through trans-national pipelines. This debate, incorporating the voices of industry, government and advocacy groups, has gained traction in the news media, alternately framed as an environmental, economic, trade, human rights or public safety concern. It is possible, however, that such coverage may vary substantially with regional interests and perceptions of costs and benefits, locally or nationally. To uncover how the framing of energy transportation varies with proximity considerations, regional and national media coverage in Canada and the United States of the Keystone XL pipeline from 2010 to 2014 is analyzed. National and local papers frame the pipeline according to different considerations, as do cities near to and distant from the pipeline route.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.999

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.283
Teacher spread0.274 · 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