Decentering Expected Voices and Visibilities through Connective Learning in a Feminist Transnational Bridging Pilot
Bibliographic record
Abstract
This paper outlines the learning opportunities that emerged when international students acquiring English for Academic Purposes joined Canadian undergraduates fluent in English for an Introduction to Women’s and Gender Studies. Critical reflections provided by students, course facilitators, and the graduate student researcher were gathered through surveys, interviews, and focus groups that examined experiences of academic internationalization in feminist and language acquisition classrooms, co-designed to engage difference as a valuable resource in community and knowledge-building. Results included development of mutual mentoring relationships across a wide range of educational and cultural backgrounds; honing of international students’ English-language skills through structured, intentional learning opportunities with others fluent in English; deepening awareness of non-western and Indigenous contexts as sites of critical knowledge production; and evidence that international and local newcomers to university campuses have much to offer one another. For everyone involved, there were opportunities to reflect critically on both subject matter and pedagogies of community building; use accessible language to build connections; interrogate knowledge claims emerging from the many contexts that instructors and students brought with them into learning conversations; and practice collaborative knowledge-building by probing the effects of local and global power systems in the learning pathways of students, instructors and institutions.
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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 | 0.646 | 0.535 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.592 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.427 |
| 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; both teacher heads agree on what is shown here.
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".