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Enregistrement W4375907136 · doi:10.26686/wgtn.17143067.v1

Beyond Greenwash: Environmental Discourses of Appropriation and Resistance

2015· dissertation· en· W4375907136 sur OpenAlexaboutno aff
Keely Kidner

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineArts and Humanities
ThématiqueDiscourse Analysis in Language Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAppropriationAotearoaEthnographySemioticsAssemblage (archaeology)Critical discourse analysisDiscourse analysisPoliticsSociologyPolitical scienceMedia studiesGeographyEpistemologyGender studiesLinguisticsAnthropologyArchaeologyLaw

Résumé

récupéré en direct d'OpenAlex

A multimodal, critical approach to Discourse allows us to understand contemporary environmental debates in a nuanced way. Fossil fuel mining has become especially controversial due to the environmental, health, and social impacts, as well as the substantial economic dependence on such development. Wider discussions surrounding mining projects tend to diverge into two major oppositions: that of the industry itself, and that of local activists protesting development on their lands. Research in these areas has leaned towards a focus on the use of environmental language by polluting industries, termed ‘greenwash’, missing to some degree the ways in which these and other Discourses are articulated multimodally through interaction. This thesis brings a critical, multimodal analysis to controversial mining debates which go ‘beyond greenwash’, in order to track how Discourses are appropriated, resisted, and re-entextualised. In this thesis I adopt overlapping critical, multimodal, and ethnographic theoretical lenses to view interaction surrounding two controversial mining case studies: the Athabasca tar sands in Alberta, Canada and a lignite coal mine expansion in Southland, Aotearoa/New Zealand. Drawing upon an understanding of human communication as inherently multimodal, I include video-recorded interviews with both activists and industry representatives, as well as relevant artefacts (such as pamphlets, photographs, signs, etc) in my dataset. Using mediated action as the unit of analysis, I employ Multimodal Interaction Analysis to examine interview interaction, coupled with methods from Social Semiotics to interrogate designed artefacts. These analytical frameworks, viewed through combined theoretical lenses, provide a unique perspective on the way Discourses are appropriated and creatively resisted in debates about resource development. In both case studies, Discourses of the environment and the economy are appropriated by activists and industry actors, forming the basic ‘Environment v. Economy’ Discourse. This dichotomy is expanded through the appropriation of additional Discourses, such as regional identity in both Southland and Alberta. Activist groups subsequently resist and re-appropriate these regional Discourses by multimodally re-contextualising them. In Alberta, additional Discourses of Indigenous and LGBTQ+ identities are appropriated by industry actors in attempts to legitimise mining expansion. While some of these appropriations draw upon ideas of intersecting oppressions, mining industries fail to adequately address the ways in which resource extraction contributes to those oppressions. However, these actions are both recognised and resisted by local anti-tar sands activists, who use public events and designed artefacts to display their opposition and reappropriate Discourses. Although both case studies are concerned with similar types of fossil fuel extraction, there are notable differences. Whereas Discourses of the environment, the economy, and regional identity are both appropriated and resisted in Southland and Alberta, it appears that in Alberta, industry actors draw upon a wider variety of Discourses. This may be due, in part, to the fact that the Athabasca tar sands controversy has had a longer development period and more international resistance, meaning there is more pressure to legitimise new and ongoing projects. This has led to a type of ‘discursive arms race’, where wider Discourses are appropriated as other, more directly-linked, Discourses are exhausted (e.g. the environment). In response, activists in both Southland and Alberta make use of creativity and humour in mundane performances to enact satirical representations of powerful industry actors. While these performances occur regularly in many of my interviews, activists in Alberta also tend to stage elaborate and humorous theatrics in order to criticise government and industry approaches to fossil fuel development. The unique framework employed in this thesis has resulted in a number of research implications. These include the combination of Critical Discourse Analysis with a multimodal, ethnographic approach, and the coupling of Multimodal Interaction Analysis with Social Semiotics to expand my analytical reach. Additionally, I have made use of a variety of modes in this thesis’ presentation, in order to exploit each mode’s affordances and better represent the complexity of my dataset. Finally, from a critical perspective, this research offers an agenda of empowerment for environmental justice activist groups struggling to protect their lands.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,016
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,003
Études des sciences et des technologies0,0160,062
Communication savante0,0170,018
Science ouverte0,0020,012
Intégrité de la recherche0,0050,005
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,254
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations17
Publié2015
Routes d'admission1
Résumé présentoui

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