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Record W2801492516

A rhetorical analysis of wind concerns Ontario's use of melodrama to promote online opposition to industrial wind turbine developments

2018· dissertation· en· W2801492516 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2018
Typedissertation
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionOpposition (politics)TurbineWind powerEngineeringPolitical scienceMedia studiesSociologyArtLiteratureAerospace engineeringLawPoliticsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

In 2009, the Ontario government implemented the Green Energy Act (GEA). Within this
\ninitiative, the GEA heavily subsidized renewable energy developments and instituted procedural
\nmechanisms to expedite such developments across the province. In doing so, the GEA altered
\nthe landscapes of numerous rural Ontario communities. Since 2009, nearly 2 500 industrial wind
\nturbines (IWTs) have been constructed – turbines approximately 80 meters high with blades
\nexceeding 40 meters. In response to this alteration, roughly 50 grassroots groups have
\ndesignated themselves as “Not A Willing Host” of IWTs. This phenomenon represents a paradoxical “green on green” (Warren et al. 2005) controversy in
\nwhich pro-environmental arguments figure centrally (though not exclusively) within grassroots
\nopposition to a government-led ‘green’ initiative.
\nTo understand the scope and style of these arguments as a form of environmental
\ncommunication, my dissertation undertakes a textured rhetorical analysis of Wind Concerns
\nOntario’s (WCO) online opposition – the most prominent grassroots IWT opposition group
\nwithin the province.
\nDrawing on Schwarze’s (2006) theory of environmental melodrama, my rhetorical analysis
\nillustrates that WCO’s use of ‘embedded third-party edited blog posts’ constitutes an
\nenvironmental melodrama – a melodrama that is enacted through WCO’s appropriation of
\njournalistic conventions. In communicating these posts, WCO often inserts its own headline,
\nlead, visual and/or caption to frame the linked item as part of its oppositional discourse. I argue that this complex and contemporary rhetorical strategy functions as a form of participatory
\njournalism to promote political homophily and create an echo chamber in which the ideological
\nunderpinnings of IWT opposition coalesce and reverberate, while contrary ideologies are
\ndismissed.
\nThis research contributes to further mapping the parameters of the IWT controversy in Ontario.
\nIt also contributes to an understanding of the rhetorical repertoire of environmental melodrama
\nby highlighting its discursive complexity and malleability – notably the incorporation of
\ntechnocratic discourse conventions and divisive humour – two features not typically associated
\nwith this rhetorical form. Furthermore, by exploring the characteristics and implications of
\nmelodrama – a rhetorical form common in public disputes – this research will inform citizens
\nand stakeholders who find themselves imbricated amidst a social controversy, environmental or
\notherwise, and navigating a potential rhetorical response.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.263
Teacher spread0.184 · 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.

Study designNot applicable
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 routes1
Has abstractyes

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