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
The Commons, a term derived from the concept of common grazing ground in simpler times, is now used to describe our shared knowledge-based, and the processes that facilitate or hinder its use. This session focuses on recent activities by Canadian librarians towards creating the commons, through open access and open source approaches. The Canadian Association of Research Libraries, the Canadian Library Association (CLA), and the British Columbia Library Association have policies strongly in support of open access. E-LIS, the open archive for library and information studies, provides a means for librarians to share work through self-archiving, and is an interesting example of a new type of global collaboration. CLA's Evidence Based Librarianship Interest Group has developed a new, international, peer-reviewed open access journal, and The Partnership (of library associations across Canada) has another in the works. A new concept of open source scholarship (open sharing of content, rather than software) is explored, with examples such as the Human Genome Project and Useful Chemistry. Canadian librarian scholarly blogging and wikis are discussed. It is concluded that the commons offers new opportunities for sharing and global collaborations, the like of which we have never seen before. It will be important to develop copyright laws that facilitate sharing, not just intellectual property protection.
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