Adapting CBPP Platforms for Instructional Use
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
Commons based peer-production (CBPP) is the de-centralized, net-based approach to the creation and dissemination of information resources. Underlying every CBPP system is a virtual community brought together by an internet tool (such as a web site) and structured by a specific collaboration protocol. In this talk we will argue that the value of such platforms can be leveraged by adapting them for pedagogical purposes. We report on one such recent adaptation. The Noösphere system is a web-based collaboration environment that underlies the popular Planetmath website, a collaboratively written encyclopedia of mathematics licensed under the GNU Free Documentation License (FDL). Recently, the system was used to host a graduate-level mathematics course at Dalhousie University, in Halifax, Canada. The course consisted of regular lectures and assignment problems. The students in the course collaborated on a set of course notes, encapsulating the lecture content and giving solutions of assigned problems. The successful outcome of this experiment demonstrated that a dedicated Noösphere system is well suited for classroom applications. We argue that this “proof of concept ” experience also strongly suggests that every successful CBPP platform possesses latent pedagogical value. ∗Supported by Dalhousie’s Centre for Learning and Teaching, and N.S.E.R.C., Canada.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it