Out of the Writing Centre and into the Classroom: Academic Literacies in Action
Bibliographic record
Abstract
Writing and learning centre professionals have expertise in supporting the development of academic literacies but are typically positioned outside of departmental contexts, limiting their interaction with instructors in the disciplines. Small scale initiatives towards meaningful collaboration with faculty can create the dialogic space to move the work of academic literacies development into the classroom. This paper describes three collaborative projects in business, science, and arts disciplines to move instruction in academic literacies from a supplemental, outside of class model to an embedded, in-class delivery. Working towards collaborative projects enhances opportunities for writing centre professionals to impact their institutions while remaining flexible in delivering support in a variety of modes. These collaborative projects enhance the professional development of both teaching faculty and writing centre professionals, allowing both parties to gain insight on the often-implicit processes of thinking, using information, and writing that distinguish disciplines from one another.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.026 | 0.017 |
| Open science | 0.002 | 0.026 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".