Partnership as an entangled space of becoming
Bibliographic record
Abstract
Two university staff members and two former students reflect on their collaborative journey, beginning in 2019 and continuing through the Covid-19 pandemic. The paper examines motivations for engaging in Student-Staff Partnership (SSP) projects, evolving understandings of partnership, and challenges faced. Rooted in Freirean principles of hope, transformation, dialogue, and collaboration, the partnership fostered reciprocal relationships and disrupted traditional hierarchies. The collaboration began with a student-designed mentoring scheme and evolved into a deeper inquiry into equity, social justice, and supportive learning environments. Despite systemic challenges, the partnership thrived on micro-moments of joy, connection, and mutual support, highlighting the transformative potential of Freirean partnership. The reflection underscores the importance of process over product, emphasizing mutual respect, dialogue, and hope in creating meaningful educational experiences.
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.
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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.047 |
| Scholarly communication | 0.023 | 0.019 |
| Open science | 0.002 | 0.028 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".