Readers’ Forum Introduction: The Age of McLuhan, 100 Years On
Notice bibliographique
Résumé
Readers’ Forum Introduction: The Age of McLuhan, 100 Years On Marco Adria (bio) and Catherine Adams (bio) Click for larger view View full resolution Marshall McLuhan (back row left), age thirteen, with family members, northeast Edmonton, c. 1924. Photograph: Stuart McKay [End Page 1] This year marks the centenary birthday of English literature professor, media theorist, and “global village” prophet Herbert Marshall McLuhan in Edmonton on 21 July 1911. Yearlong celebrations occurring across the globe—from Barcelona, Berlin, and Brussels to Copenhagen and Katowice—testify to his devoted fandom fueled by revived academic attention to McLuhan’s startling insights and interdisciplinary scholarship. In the prairie city of his early years, the University of Alberta is hosting a series of public and scholarly events, including the Media Ecology Association (mea) convention in late June. As convenors of mea 2011, we were initially surprised by the large number of delegates hailing from outside North America—Brazil, Mexico, Europe, and China. But as one contributor to this Reader’s Forum points out (Friesen), the McLuhan intellectual legacy, with its distinctive Canadian roots, has in fact been thriving abroad for decades. For this Readers’ Forum, “The Age of McLuhan, 100 Years On,” we invited six scholars to reflect on the significance of Marshall McLuhan in today’s posthuman mediatic context. Canada Research Chair of E-Learning Practices, Norm Friesen opens by describing the depth of interest that German scholars have maintained in McLuhan, whom they identify fully with Canadian culture. Friesen echoes a heuristic that our colleague Rob Shields uses when discussing McLuhan’s body of work, that is, McLuhan himself is a kind of intellectual medium; he mediates disciplines, historical eras, sensibilities, and even national cultures. McLuhan as medium also emerges in the contribution by B. W. Powe, poet, essayist, philosopher, and student of both McLuhan and Northrop Frye. Powe offers an excerpt from his forthcoming book, Apocalypse and Alchemy: Visions of Marshall McLuhan and Northrop Frye. In the larger work, he argues that McLuhan’s “presences and signatures,” the tracings of his intellectual work in Toronto’s social and geographical landscapes, may be compared with those of Northrop Frye. In his excerpt, Powe immerses us in the alchemy of McLuhan’s electric mind, probing us with his signature mix of interfacial abrasions intending to “snap the trances of [our] conditioning.” English Professor and author of McLuhan in Space: A Cultural Geography, Richard Cavell considers the implications of McLuhan’s intellectual legacy for the study of literature in Canada and ultimately for the fate of the academy. Literary studies formed the foundation of McLuhan’s training and constituted a lifelong point of departure, tension, and creation. In preparation for his dissertation on the work of Thomas Nashe (1567–1601), [End Page 2] McLuhan studied the history and philosophy of the trivium and its division of knowledge into the streams of rhetoric (communication), dialectic (philosophy and logic), and grammar (literature, including the modes of interpretation). His theory of communication was to be articulated over the three decades of his academic career as a “grammar” of media, in which a new medium expanded and then transformed the social and economic effects of previous media. Cavell casts McLuhan’s grammarian vision of media in light of our Googling, Twittering Wikipedia world and sees renewed and unexpected dialogues emerging between public and academy. Gordon Gow begins by quoting the late poet O. B. Hardison’s observation that culture can only be discerned through a “contemplation of the invisible in the obvious,” an epithet that McLuhan would surely affirm. McLuhan’s work is, as has been said, preparadigmatic. In response to this situation, Gow wonders if McLuhan’s theories can be understood using structures that we already know and if we are seeing a new form of transformation through media. Perhaps, as Gow suggests, we can contribute best if we simply “listen and watch.” While McLuhan is certainly most famous for his media theory (“the medium is the message”), few realize that he was a remarkable teacher who wrote about pedagogy and media education throughout his career. For example, City as Classroom: Understanding Language and Media (1977), co-written just before his death with Kathryn Hutchon and his...
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».