Building First-Year Science Writing Skills With an Embedded Writing Instruction Program
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
An important foundational skill developed in an undergraduate science program is the ability to find, critically evaluate, and communicate scientific information. Effective science communication depends on good writing; therefore, we leveraged student support services offered by the Writing Centre and Academic Communications, in conjunction with the Office of the Dean of Science and the departmental chair of Biology at Saint Mary’s University (Halifax) to help meet science-writing outcomes in the Biology program. Our initiative began with writing-instruction workshops, embedded into first-year labs, which supported student writing of formal lab reports. The program also featured instructor feedback on drafts and final resubmissions, and mandatory consultations with disciplinespecific writing tutors during the revision phase. We used surveys, attendance records, and grades to evaluate the program’s success. Writing tutoring was incentivized and well attended, and we measured a significant improvement on final lab reports grades for students who made use of the program. Over 80% of participants, both science majors and nonmajors, reported that the program had prepared them for future courses.
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 | 0.016 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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