Do We Need New Method Names? Descriptions of Method in Scholarship on Canadian Literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Literary studies are often seen as a discipline without method. Research articles in literature do not have method sections, nor do they list what type of evidence has been included in a particular project or by what procedures primary material was analyzed. Because of implicitness of questions of method and research design, writing in literary studies is difficult to teach and often relies on students' abilities to infer their own strategies for reading and writing. I analyze a textual corpus of recent research articles from Canadian Literature and Studies in Canadian Literature in order to clarify typical discursive patterns that are used when discussing methods of literary scholarship. On the basis of these findings, we can ask: How can teaching in literary studies be adjusted in order to demystify the methodological practices of the discipline?
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it