Employing customizable digital observation tools to support classroom-focused pedagogical partnership
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
This case study examines the use of the Generalized Observation and Reflection Platform (GORP)—a digital tool for developing fully customizable observation protocols as well as for collecting, analyzing, and reporting quantitative observation data—within the University of Notre Dame’s Inclusive Pedagogy Partnership. We found that the tool enhanced collaboration between partners in articulating and setting goals for their work and in highlighting and conceptualizing growth in the classroom. It also improved the efficiency of classroom observations and generated visual and quantitative data that usefully supplemented more traditional qualitative observations. Because of a steep learning curve, however, providing extensive time and support for partners in incorporating GORP was key to its successful implementation. We also suggest that GORP may serve as a useful tool for helping partners move between product- and process-oriented understandings of their work and for empowering student partners to take ownership of their observations.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it