Open Pedagogy through Community-Directed, Student-led partnerships: Establishing CURE (Community-University Research Exchange) at Temple University Libraries
Bibliographic record
Abstract
This paper reports on the establishment of an open pedagogy initiative between community organisations and students, facilitated by the Temple University Libraries (TUL) and faculty in the Philadelphia area. The Community-University Research Exchange (CURE) produces community-driven social justice research. Library facilitators solicit research questions and project proposals from grassroots community organisations who experience social and economic marginalisation, limiting or even disallowing the access to information that is vital to innovating the services organisations provide. Students select from a bank of research projects, developed by community organisations, identifying issues that they wish to investigate, skillsets they hope to master, or organisations for whom they hope to contribute their intellectual labour. This project facilitates community organisations’ direction and autonomy in promoting beneficial research objectives. It also foregrounds students as the directors of their own knowledge output and learning. This project is modeled after the Quebec Public Interest Research Group’s (QPIRG) programme.
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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 | 0.024 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".