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Record W1554438458 · doi:10.22230/cjc.2013v38n1a2569

La marée noire dans le golfe du Mexique: Stratégies de BP pour restaurer sa réputation souillée

2013· article· en· W1554438458 on OpenAlexaffvenue

Bibliographic record

VenueCanadian Journal of Communication · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsLa Cité CollégialeUniversity of Ottawa
Fundersnot available
KeywordsRhetorical questionOil spillSet (abstract data type)Deepwater horizonComputer scienceGeographyPhilosophyLinguisticsEnvironmental protection

Abstract

fetched live from OpenAlex

This article classifies rhetorical elements deployed by BP in its handling of the 2010 Oil Spill in an attempt to demonstrate the applicability of a new analytical framework developed to interpret communication strategies in times of crisis: W. L. Benoit’s Image Restoration Theory, to which contributions from five authors were appended. The research shows that BP set in motion dynamic strategies adapted to the fluctuating circumstances that defined this environmental catastrophe. In the final analysis, the modalities of BP’s responses to the crisis are aligned with the six fundamental strategies of Benoit’s enriched model as well as 19 of its 22 variants.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.631
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 designTheoretical or conceptual
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
Published2013
Admission routes2
Has abstractyes

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