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Record W2725320123 · doi:10.1353/esc.2016.0019

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

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

Bibliographic record

VenueEnglish studies in Canada · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipWonderSkepticismInsiderSociologyVariety (cybernetics)Canadian literatureField (mathematics)Media studiesLawLiteraturePolitical scienceEpistemologyArtPhilosophy

Abstract

fetched live from 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...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.123
GPT teacher head0.340
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2016
Admission routes2
Has abstractyes

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