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Enregistrement W2725320123 · doi:10.1353/esc.2016.0019

If What We Do Matters: Motives of Research in Canadian Literature Scholarship

2016· article· en· W2725320123 sur OpenAlexvenueaboutno aff
Sarah Banting

Notice bibliographique

RevueEnglish studies in Canada · 2016
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueRhetoric and Communication Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésScholarshipWonderSkepticismInsiderSociologyVariety (cybernetics)Canadian literatureField (mathematics)Media studiesLawLiteraturePolitical scienceEpistemologyArtPhilosophy

Résumé

récupéré en direct d'OpenAlex

If What We Do Matters:Motives of Research in Canadian Literature Scholarship Sarah Banting (bio) My title begins with "if," as if to cast doubt on whether Canadian literature scholarship matters. I write as a sometime insider to the discipline of literary studies and the field of Canadian literature, referring to myself as one of an "us" addressed by articles published in the field, and I have long felt strongly that it does matter. But the study I present here was motivated in part by questions posed from outside the discipline about whether or not and how literature scholarship matters. These questions come from a variety of locations, including from casually curious or skeptical outsiders—I hear them from friends wanting to know what research looks like, in English—but also from students hoping to join the field, as they wonder what they are supposed to do in their essays for their English classes. Behind their uncertainty, I hear the question, why: Why would we bother? Why does this text or that analysis matter?1 Meanwhile, as Daniel Coleman and Smaro Kamboureli, Kit Dobson, and others have pointed [End Page 27] out, similar questions are implied by funding bodies that seek a type of tidily instrumental project literature scholarship does not often seem to provide (Coleman and Kamboureli xv–xvii, xx, Dobson 16). Compelling versions of these questions come, too, from an adjacent scholarly field that I also inhabit: Writing In the Disciplines (wid) research (see, for instance, the work of John Swales, David R. Russell, Ken Hyland, Janet Giltrow, Natasha Artemeva, and Heather Graves or the contributors to Berkenkotter, Bhatia, and Gotti's edited collection). Scholars in this field, who are interested in describing the aims, habits of mind, and rhetorical practices characterizing research in various academic disciplines, have conducted some sustained analyses of literature scholarship (see Charles Bazerman, Jeanne Fahnestock and Marie Secor, Susan Peck MacDonald, Laura Wilder, Katja Thieme, Joanna Wolfe). They have largely pursued this project by analyzing professional texts written by literature scholars, especially the published scholarly articles that embody our research. As Margery Fee observes in a recent editorial, their inquiries into our methods of analysis and argument help make explicit what is otherwise tacit and unexplained disciplinary rhetoric ("Spies in the House" np)—unexplained in our professional texts and, importantly, in our classrooms (see also Wilder Rhetorical, Wolfe, Thieme, Banting "Uncomfortable"). The questions raised by their accounts of our work connect to the questions asked by more general audiences (friends, incoming students, funding bodies), because they too can be conceived as questions about how literature scholarship should be understood and valued: How is it supposed to matter for anyone who is not already a professional in the field?2 I want to pursue two specific versions of that question here, each version prompted by the findings of wid research about our discipline. One is, Can literature scholarship legitimately claim to be doing knowledge-making research—and thus claim to matter in a so-called knowledge economy the same way some other disciplines can? Analysts point out, for example, how our interpretive work remains so fascinated with the [End Page 28] individual particularities and complexities of texts and phenomena that we do not generalize in ways that would enable us to coordinate our findings with others'—hence we do not generate a body of agreed-upon scholarly knowledge (MacDonald). The critical terms that we do generate in our efforts to encapsulate precisely what we see going on in our material are observed to be "upward diverging": as they get more abstract, they diverge from terms other literature scholars might use for similar phenomena rather than converging with them in agreement about what is to be studied and how it is to be defined. This divergence apparently happens because our terms are crafted to be precisely appropriate to the specificities of the material we are reading closely rather than being necessarily generalizable (MacDonald 42). When we do converge on key critical terms, the shared terms tend to be broad theoretical concepts—MacDonald cites, for instance, Foucauldian critiques of power and authority—first generated outside of literature scholarship (116). Accordingly, as Katja Thieme puts it...

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,476
Score d'incertitude au seuil0,386

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
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 Opus0,123
Tête enseignante GPT0,340
Écart entre enseignants0,217 · 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'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

Citations2
Publié2016
Routes d'admission2
Résumé présentoui

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