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Record W4408388040 · doi:10.22230/cjc.2017v43n1a3342

From Public Relations to Mob Rule: Media Framing of Social Licence in Canada

2018· article· en· W4408388040 on OpenAlexaffvenueabout
Shane Gunster, Robert Neubauer

Bibliographic record

VenueCanadian Journal of Communication · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFraming (construction)Media studiesPolitical scienceSocial mediaSociologyAdvertisingLawBusinessHistory

Abstract

fetched live from OpenAlex

Background Social licence refers to the idea that corporations and governments require broad public support for resource development projects from affected communities, citizens, and stakeholders. Talk of social licence has become pervasive in media discussions of resource development in Canada and especially prominent in debates around oil pipelines. Analysis This article explores changing Canadian newspaper coverage of social licence over the past two decades. It identifies and analyzes the formation of four distinct “logics” of social licence: corporate, regulatory, oppositional, and conservative attack. Conclusions and implications This analysis provides a more robust framework for understanding how different groups have advanced competing visions of social licence within the public sphere, while illuminating the active role that news media have played in shaping the definition of social licence to fit their own editorial cultures.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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
Published2018
Admission routes3
Has abstractyes

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