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Record W2067886697 · doi:10.1080/08941920.2014.948241

Dead Ducks and Dirty Oil: Media Representations and Environmental Solutions

2014· article· en· W2067886697 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSociety & Natural Resources · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Alberta
FundersSyncrudeGovernment of Alberta
KeywordsTailingsNewspaperGovernment (linguistics)Event (particle physics)Diversity (politics)Oil sandsTailings damEnvironmentalismEnvironmental degradationPolitical scienceEnvironmental resource managementEnvironmental protectionEnvironmental planningGeographyEcologyLawEnvironmental sciencePoliticsArchaeologyBiology

Abstract

fetched live from OpenAlex

In April 2008, more than 1,600 migrating ducks died after landing on a toxic tailings pond in the Oil Sands region of northeastern Alberta. The responsible company was found guilty and paid the largest environmental fine in Alberta's history. To assess the nature of this environmental focusing event, we identified 747 newspaper articles that covered this event, published between January 2008 and June 2011. Each article was coded based on date of publication, voices represented, and solutions proposed. The coverage was concentrated following the original and related events, creating a focusing event, and expressed mainly the voices of powerful actors in industry, government, and environmental groups. Most of the solutions proposed were short term and depicted a zero-sum trade-off between environmental and economic interests. We suggest that more sustained media attention with a greater diversity of voices and solutions could foster greater dialogue around environmental challenges like toxic tailings ponds.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.927

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 studies0.0010.001
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 head0.014
GPT teacher head0.270
Teacher spread0.256 · 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