Freighted Friendships to Phony Flowers: Feminist Memory Work and Self-Study in a Study Abroad Program
Bibliographic record
Abstract
Background: This paper analyzes a remembered shared experience of cocurricular designing and coteaching an experiential learning pilot project in a university study abroad program (SAP) that emphasized social justice. Purpose: We look back because the pilot program is a significant demonstration of what complexities can arise when feminist educators bring their own politics and pedagogies to experiential learning and study abroad education contexts; we understand this as valuable because “experience” broadly is complex. Memory is crucial to feminist educators because it indicates the development of care, ethics, pedagogy, politics, and priorities, and so, we ask: what pedagogical insights can be gained through revisiting our enmeshed personal/professional memories of cocurricular designing and coteaching an experiential learning series for study abroad students? Methodology: We use self-study and memory work to analyze memory objects (curriculum materials) and narratives (of teaching) to explore this pedagogical work and highlight generative tensions that emerged while employing a critical feminist approach to work not initially conceptualized with this framing. Findings: We uncovered three key tensions: personal, community, and racial that troubled emergent issues related to difference, discourse, and positionality. Implications: This project offers pedagogical insights into how oppression and inequality may enter experiential learning and study abroad spaces.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".