Introduction to the <i>Special Issue</i> on energy regionalism
Notice bibliographique
Résumé
Academic interest in global energy politics increased drastically in the 1970s when the Organization of Petroleum Exporting Countries (OPEC) cut oil production to punish the West, leading to escalating gasoline prices.The crisis highlighted that energy is inextricably linked to global politics, sparking the creation of a new disciplinary field: international political economy (IPE) (Hancock & Vivoda, 2014, p. 6).Scholars escalated their research.However, when the price of oil declined, so did publications, particularly in mainstream international relations (IR) journals; they remained stagnant for decades (Hughes & Lipscy, 2013).The paucity of energy politics publications became more obvious and problematic with dramatic changes in the global energy landscape including the rise of China and its massive consumption and production and Russia playing "pipeline politics;" major increases in renewable energy (RE) production and related political actors; oil and gas finds in Africa and Asia; hydraulic fracturing ("fracking") technology that led to the US becoming a net exporter in 2020, for the first time since at least 1949; new regional and global energy governance structures (e.g. the EU's Energy Union); new energy institutions, such as the International Renewable Energy Agency (IRENA); increasing certainty about climate change science and the 2015 Paris Agreement; the Fukushima disaster that changed views and policies about nuclear energy.This Special Issue's focus stems from four rarely linked trends.First, academic interest in regions and comparative regionalism, in which scholars rigorously compare formal and informal institutions, players, and processes for creating and maintaining regions, and issues between regions (Acharya, 2012;Balsiger & VanDeveer, 2012; Börzel & Risse, 2016;De Lombaerde et al., 2010;Hameiri, 2013).Second, a growing group of IR scholars turning their attention to energy.Third, IR scholars increasingly using lenses other than the traditional security one.Finally, a trend toward analyzing informal governance and non-state actors, along with formal institutions and state-led efforts.The scarcity of literature on energy regions is not just an "academic" problem.Understanding how regionalisms-players, processes, institutions, and organizations-intersect with energy is directly linked to domestic and international energy policies and outcomes.For example, regional energy infrastructure meant to improve standards of living in lower income states sometimes flourishes and other times fails disastrously.They sometimes benefit only elites, fueling corruption.Development goals may go unreached, and aid wasted, due to poor design and a weak or inaccurate understanding of regional dynamics.Energy projects can create negative externalities, in which energy production in one state negatively affects neighboring states.Exploring energy regionalisms promises to feed into both pertinent academic debates and broader international relations and domestic challenges.At the empirical level, starting in the late 1980s, there's been a "reinvigoration" of regional cooperation, especially in the global South (Kacowicz, 2018, p. 61) but in all world regions and across numerous issue areas (Schneider, 2017, figure 1, p. 230).This phenomenon is documented
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,011 | 0,006 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,005 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,080 | 0,034 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».