MétaCan
Menu
Back to cohort
Record W2739123180 · doi:10.1080/17524032.2017.1289107

Fort McMurray and the Canadian Oil Sands: Local Coverage of National Importance

2017· article· en· W2739123180 on OpenAlexaffabout
Jacob Papineau, Leith Deacon

Bibliographic record

VenueEnvironmental Communication · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNewspaperOil sandsScope (computer science)PoliticsResource (disambiguation)Political scienceGeographyMedia coverageScale (ratio)Regional scienceEnvironmental resource managementSociologyMedia studiesEnvironmental scienceCartographyLawComputer science

Abstract

fetched live from OpenAlex

Understanding resource-based communities (RBCs) as potential casualties of Canada's economic proclivity towards resource extraction projects may help us to generate political support for these communities at both local and national scales. The media has a critical role to play in promoting the development of this type of political discourse. This study examines how traditional print media coverage affects Canadians' perceptions of the Athabasca oil sands. A quantitative media analysis examines scope and thematic content of articles appearing in major Canadian newspapers between 2003 and 2013. We find that most coverage concerning the Athabasca oil sands over this period appears predominantly in western Canadian newspapers, with coverage primarily focusing on specific events. We argue that this geographic disparity in coverage does not provide Canadians with the adequate coverage necessary to develop an informed opinion on what the implications of ongoing oil sands development are at both a local and a national scale.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.007
GPT teacher head0.205
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueEnvironmental CommunicationSame topicAtmospheric and Environmental Gas DynamicsFrench-language works237,207