The Content, Contextualization, and Effectiveness of Writing-Assignment Instruction Documents
Bibliographic record
Abstract
This study of writing-assignment instruction documents (WAIDs) uses concepts from Rhetorical Genre Studies to examine WAIDs as a rhetorical genre by exploring the information that WAIDs contain, their contextualization within the university classroom, and how they situate users within that context.Further, it compares instructor and student perceptions to infer how WAIDs can most effectively communicate instructors' expectations for assignments and foster quality writing.My analysis of (a) WAIDs from 11 sophomore courses, (b) interviews with students and instructors from two sophomore courses, (c) WAIDs from those two courses, and (d) students' assignments written with those WAIDs suggests the following: WAIDs contain up to twelve categories of information, reinforce classroom roles, and set boundaries for student action, and yet students may see WAIDs as supplementary to in-class discussion of instructors' expectations for assignments.Also discussed are differences between the two sophomore classes in students' recognition of expectations for writing assignments.
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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 | 0.005 | 0.092 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".