Periodicals, Undergraduate Research, and Disciplinary Futures: The Promise of Course-Embedded Undergraduate Research Experiences (CUREs)
Bibliographic record
Abstract
Abstract: This article argues that periodical studies offers extraordinary potential to enrich student learning through creating collaborative research opportunities and making these integral to course pedagogy. After describing how undergraduate research has become recognized as an established best practice in higher education, the article notes that, even though English has lagged behind other disciplines in adopting it, periodicals are especially well-suited sites for student research. In particular, they are readily adoptable for course-embedded undergraduate research experiences (CUREs) that can engage undergraduates both in and beyond the major, as the description of a Victorian literature course taught at the University of Delaware demonstrates. The article concludes by arguing that creating such experiences is ever more important for demonstrating the value of English studies at a time of declining enrollments and when the discipline is facing growing threats from beyond the academy.
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How this classification was reachedexpand
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 | 0.033 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".