MétaCan
Menu
Retour à la cohorte
Enregistrement W7028210526

Emerging Educational Subjectives in the Global Periphery

2016· article· en· W7028210526 sur OpenAlexaboutno aff

Notice bibliographique

RevueeCite Digital Repository (University of Tasmania) · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueIndigenous and Place-Based Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRuralityDystopiaRural areaNarrativeIdentity (music)Cognitive reframingNational identityResource (disambiguation)China
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

<p>In the global north the idea of rurality takes on a particular inflection. Northern places, which are often considered to be rural and 'isolated', have often been marginalized in metrocentric discourses of development. Associated with these peripheral places are equally marginal backward, rough and uneducated identity stereotypes that have been well explored in the rural studies literature. But things are changing. In this chapter, focusing on the Canadian and Scandinavian contexts, we argue that contemporary resource development has complicated established discourses of modernity and that places outside the metropolis are increasingly central to national development agendas. We investigate how contemporary forms of resource production, and the identity structures that they facilitate, integrate into emerging national cultural imaginaries and educational policy narratives in and about northern and rural regions as either utopian or dystopian constructions. This in turn leads to discursive emphasis on retooling education systems in rural and remote areas. This reassertion and reconfiguration of the rural signals a need for a policy shift that recognises the centrality of modern rural regions to national development strategies. At the same time we interrogate the consequences of the entanglement of traditional primary industries such as fishing and farming with emerging associations with mining and oil and gas development.</p> <p>In Canada and in Scandinavia the conflation of historic national identity with rural resource production are key metaphors in the cultural imaginary. Simultaneously, places outside the metropolis are increasingly central to national economic development strategy. This has led to new concerns about education in rural and remote regions aimed at creating new worker/ subjects for emerging forms of technologically enhanced and increasingly globalised resource development requiring different knowledge and competencies, Drawing on research in Atlantic Canada and in Northern Norway, we interrogate the educational and identity consequences of current policy discourse to find that contemporary change forces a reimagining of the educated subject and a respatialising of the field in which s/he is imagined to work. In 2011, the Canadian federal government announced that a major C$25+ billion contract for the construction of warships had been awarded to Halifax and the shipyards owned by the Irving family. The response was something akin to rejoicing in the streets and the CBC headlines on 19 October 2011 read: Jubilation as Halifax shipyard awarded contract' (CBC News, 2011). Premier Darrel Dexter gleefully intoned that this day would go down as one of the proudest in the history of the province and that thousands of people who had left Nova Scotia for work in western and central Canada could return home to stable employment. By early 2015 no steel was being cut, a brief real estate boom in Halifax had long fizzled out, and the Bank of Montreal (BMO) reported the province's continuing 'demographic drain', the weakest home sales in 16 years, decreasing labour force participation rates, and the continuing lure of high wages in other provinces (Bank of Montreal, 2014).</p> <p>In Norway a similar story has to do with the emerging oil and gas industry in the northern part of the country- regarding how the global oil industry affects life in geographically remote areas. The northern part of Norway has traditionally had a peripheral position in relation to the national centre located in the south, and has been regarded as an outpost. Fisheries used to be the most important industry in the region, and structural changes in resource management as well as the cyclical nature of the availability of fish have led to recurring crises for small-scale fisheries (Jentoft, 1993). A population scattered across harsh and inhospitable landscapes, an industrial structure related to resource-based industries such as fishing and farming, and a lower educational level than the rest of the national population were all qualities that have served to give this part of the country status as somewhat inferior, backward and even primitive and underdeveloped. Against this backdrop, the petroleum industry created new optimism in Northern Norway.</p> <p>In this chapter we focus primarily on how development, as described above, affects young people growing up in these regions, especially in relation to education. What happens when small, local communities are transformed into booming industrial sites or hubs for the oil and gas industry with global significance? One major impact in both Northern Norway and Nova Scotia is related to changes in the structure and dynamics of the labour markets. Today, labour mobility in the context of mobile modernity (Forsey, 2015) results in what Corbett (2010) calls 'deployment' in and out of areas of capital expansion. This is now a multigenerational way of life in some peripheral regions. What is new in both Nova Scotia and in Northern Norway is the increasingly sharp call for a new kind of worker who is simultaneously mobile and stable, tough and educated. Apart from the hype of oil and ships, we are interested here in the kind of educated subject imagined for the emerging industrial machinery of contemporary development in rural and remote parts of the global north. Accompanying these development initiatives are new educational imaginaries that focus on STEM subject areas (science, technology, engineering and mathematics) and technical skills. At the same time, a parallel discourse that focuses on the need for appropriately educated labour that will remain in 'peripheral' areas has complicated contemporary educational discussions both in Canada and in Norway.</p>

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,177
Score d'incertitude au seuil0,503

Scores Codex et Gemma par catégorie

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

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 Opus0,008
Tête enseignante GPT0,231
Écart entre enseignants0,223 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueeCite Digital Repository (University of Tasmania)Même sujetIndigenous and Place-Based EducationTravaux en français237 207