Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We ask the reader to consider a proposal for cooperative renewal in the evaluation of a course (OurU) offered in partnership between a university and community-based adult learning center. This proposal’s aim is to enhance adult learners’ ability to evaluate their learning experiences, with the goal of adopting more learner-directed content into OurU’s curriculum. Drawing from instructional team members’ experiences in a diverse adult learning environment, the authors propose steps to develop a more holistic and dynamic approach to evaluation. In this snapshot of a course operating within the same budgetary realities familiar to others in the field, resourcing evaluation is a priority for developing a dynamic assessment evaluation model. This article is offered from the view that learning is a social process and community-based research and learning can be an organic connection place between universities and the communities they serve. This article is intended primarily for practitioners in community-based adult learning contexts seeking alternatives to course evaluation processes that situate learners at the process center, as well as academics interested in participating in partnering with community adult learning centers to strengthen adult learners’ evaluation and research capacity.
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.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it