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Record W1655375819 · doi:10.22230/cjc.2014v39n3a2830

Storylines in the Sands: News, Narrative, and Ideology in the Calgary Herald

2014· article· en· W1655375819 on OpenAlex
Shane Gunster

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsSimon Fraser UniversityUniversity of Ottawa
Fundersnot available
KeywordsIdeologyFraming (construction)NarrativeCriticismPetroleum industryCritical discourse analysisPolitical scienceContent analysisGovernment (linguistics)Media studiesPolitical economySociologyHistoryLawSocial scienceEngineeringPoliticsArchaeologyArtLiteratureEnvironmental engineering

Abstract

fetched live from OpenAlex

This article presents a critical discourse analysis of the principal storylines through which the Calgary Herald framed the oil sands between May 1, 2010, and May 31, 2011. The analysis reveals that rather than avoid coverage of environmental protests and critiques, the Herald’s narratives used these events to portray the oil and gas industry (and the province and people of Alberta) as victims of an aggressive and well-funded global environmental lobby. This framing not only defends the industry by dismissing environmental criticism of the oil sands as ill-informed and ideologically motivated, it also champions the idea that the provincial government must become a promotional petro-state whose main role is to actively defend the industry.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.252
GPT teacher head0.406
Teacher spread0.154 · 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