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Enregistrement W6986960276

Resisting Shell in Ireland: making and remaking alliances between communities, movements andactivists under fire

2019· article· en· W6986960276 sur OpenAlexaboutno aff

Notice bibliographique

RevueMURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePolitical theory and Gramsci
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIdeologyPoliticsResistance (ecology)ImprisonmentIrishCommunity cohesionSocial movementAlliance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The 15-year-long resistance to Shell’s pipeline project in NW Ireland has become a strategic and symbolic site for resistance to neoliberalism and the petroleum industry, rooted in the combination of a community-based environmental justice struggle with the long-term involvement of a range of Irish social movements of the left and the intensive commitment of a substantial number of primarily international ecological activists. The movement faced the external challenges of extensive state violence and media demonisation of participants as well as the internal ones of divisions within the community, tensions between ecological and redistributive movement priorities and the instrumental attitude of some political parties and unions; despite this the campaign was very long by international standards, forced some substantial changes to state policy and has contributed to anti-austerity alliance formation and popular learning processes in the resistance to fracking, as well as to raising the political and financial cost of such projects massively. If it ultimately failed on its own terms, international comparison suggests that this had far more to do with the balance of forces against it than with internal difficulties. As against the assumption that social or ideological differences within a campaign are a source of inevitable doom (and the more banal assumption that unity is everything), this chapter explores the ways in which broad cohesion can be maintained despite such pressures. It highlights the internal learning processes of an initially conservative rural community over time; how the early imprisonment of 5 locals enabled the national left to support a campaign ‘led by the families’ rather than jockeying for leadership themselves; why the desertion of the campaign by parties in power did not lead to its collapse; and how Irish movements managed to educate international activists sufficiently that they and the community could work together effectively over time. It also questions simplistic notions of success and restates the importance of sustained popular mobilisation, learning through action and alliance formation as key elements of the potential needed to bring about a better world. The chapter frames this discussion in relation to Gramsci’s discussion of the formation of diverse kinds of subaltern knowledge and organisation and contemporary Marxist discussion of alliance-formation processes in social movements. The chapter draws on discussions with activists in the campaign about their understandings and strategies in the process of resisting Shell, and seeks to draw out useful lessons for comparable campaigns elsewhere. A note on the complex, changeful nature of gas and oil ownership during this campaign: the Corrib gas field was discovered in 1996 by Enterprise Oil who continued as co-venturers on the Corrib project with Statoil and Marathon, until Royal Dutch Shell purchased their majority stake in 2002. Shell, Statoil and the Canadian group Vermilion, who bought out Marathon in 2009, continue as stakeholders, with Shell E&P as the operator and main shareholder on the project. The community led campaign understood early on the importance of selecting a clear target, given the corporate context of buyouts, merging and rebranding. In the wake of nationwide boycotting and picketing of Shell owned petrol stations, in solidarity with the community struggle, Shell was forced to sell its entire retail and commercial business in Ireland to Topaz.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,237
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0000,002
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,066
Tête enseignante GPT0,319
Écart entre enseignants0,253 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
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

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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