Culturally Targeted Online Course Redesigns for English Composition \nand Research Writing: A Case Study
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
The Enduring Legacies ReservationBased \nProject, now in its third year, supports Native \nAmerican college students of a number of Pacific Northwest tribes. This paper \naddresses the pedagogical and elearning \nstrategies applied to the culturally sensitive \ncurricular redesigns for English Composition 1 and 2 (which involve essay writing and \nresearch writing respectively). These are foundational and required courses for a \nnumber of degree programs and certificates. The curricular redesigns for both courses \naddress issues of cultural sensitivity, learner focus, and strategy, and apply concepts of \nuniversal design for more effective learning for a wide range of learners. With the \nredesigns now in place for a year for the EC1 course and one quarter for EC2, some \nearly findings have emerged as well.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it