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Record W2610219163 · doi:10.21810/strm.v7i1.120

Telling the Fracking Truth: A Pentadic Analysis on the Rhetoric of the LNG Expansion in British Columbia

2015· article· en· W2610219163 on OpenAlexaffvenueabout
Joshua Blackler, Sibo Chen

Bibliographic record

VenueStream Interdisciplinary Journal of Communication · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRhetoricRhetorical questionGovernment (linguistics)Liquefied natural gasNatural gasPolitical scienceHydraulic fracturingNatural (archaeology)Public administrationEngineeringPetroleum engineeringArchaeologyHistoryArtWaste managementPhilosophy

Abstract

fetched live from OpenAlex

This paper presents an exploratory study that investigates the latent motives in the public reasoning and rhetoric of hydraulic fracturing expansion offered by the current government of British Columbia. A pentadic analysis was conducted on a policy strategy report titled British Columbia’s Natural Gas Strategy. The results of the analysis demonstrate how rhetorical devices are applied for legitimizing the exploitation of the natural gas resources in BC.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.975

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.057
GPT teacher head0.289
Teacher spread0.233 · 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 designQualitative
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
Published2015
Admission routes3
Has abstractyes

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