Being and Becoming: Addressing Equity, Diversity and Inclusion Issues in Learning Academic Writing through an Academic Integrity Socialisation Process
Bibliographic record
Abstract
Addressing issues of equity, diversity, and inclusion in academic writing is vital in higher education, especially when considering the lived experiences and education of undergraduates from diverse backgrounds. This paper acknowledges the challenges faced by students unfamiliar with Western academic integrity standards, emphasising the disparities experienced by socioeconomically disadvantaged, racialised, and international students. The paper describes an innovative learner-agentic empowerment approach at a Canadian university designed to enable students from diverse backgrounds to gain the academic, cultural, disciplinary and linguistic capital required to practise academic integrity. Through a mixed-method analysis of 182 undergraduates in a writing support program, we found that students who responded to a reflective prompt on academic integrity at the start of the program wrote substantially more (mean 7050 words) than those who did not respond to the prompt (mean 1692 words) during the month-long program. Qualitative analyses revealed students' unfamiliarity with cultural differences, academic integrity practices, linguistic challenges, and penalty severity. This model suggests the importance of a proactive, learner-agentic approach to facilitate education about academic integrity and to address equity and inclusivity. The study underscores the importance of systemic pedagogical changes, furthering the dialogue on equity, diversity, and inclusion in higher education.
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How this classification was reachedexpand
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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.006 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".