Bibliographic record
Abstract
Campus Reboot is a crowd-sourced, interactive and collaborative web-based documentary project and course. The project is a living document of the historical times of college during a pandemic and aftermath. This project was created during COVID-19 to give college students a way to express their feelings and create interactive video projects. Campus Reboot began as experimental research and a need to find ways for students to be creative during a pandemic. Practice-based research is an original investigation undertaken to gain new knowledge based on the practice and outcomes of that practice. There were three areas of involvement that were analyzed: the perspective of the students, the perspective of other instructors, and the perspective of those of us putting it all together. Working with fifteen colleges around the world, students created videos, based on prompts, to share their feelings about college during COVID-19. Campus Reboot allowed students to not only create works that speak to the voice of their generation, in the midst of a historical pandemic but also to work with the footage from other schools to create a broader story of our times. This project and paper look at collaborative, crowd-sourced, and interactive documentary as tools for new narratives, social engagement, and a combined voice of a generation during a global crisis. This type of collaboration can be re-worked to fit different types of projects. With minimal cost and the use of multi-media, college students can collaborate internationally to tell stories of their generation.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".