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
In parallel to the unique history of writing instruction, Canadian writing specialists have drawn on different theories and principles from the U.S. literature in building their writing studies scholarship (Giltrow, 2016; Graves, 1993; Graves & Graves, 2006; Paré, 2017; Smith, 2006). This is evident in the “Statement on Writing Centres and Staffing” published by the Canadian Journal for Studies of Discourse and Writing (Graves, 2016). As a doctoral student researching U.S.-based writing centres from day one of graduate school, one striking cross-border difference I find was the statement’s clear recommendation that writing centres are fundamentally teaching units in which students learn to write in their disciplines. In American writing centre theory, peer tutoring is the basis of writing centre philosophy, with some claiming that the tutor’s unfamiliarity of the tutee’s discipline enhances the non-hierarchical learning environment (Bruffee, 1995; North, 1984; Pemberton, 1995).
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it