CLOE - Co-operative Learning Object Exchange
Bibliographic record
Abstract
The Co-operative Learning Object Exchange (CLOE) is a collaboration between Ontario universities and colleges for the development, sharing, and reuse of multimedia-rich learning resources. This occurs through the CLOE Learning Object repository.\n\nEach institution develops multimedia learning resources to address instructional challenges shared by the other partners, or uses/adapts learning objects created at another partner institution to use at their own institution.\n\nCLOE is a Canadian based organization with membership primarily in Ontario (all universities and many colleges) as well as agreements with organizations in Manitoba, Newfoundland, and Thailand. In addition CLOE holds close affiliations to MERLOT (Multimedia Educational Resources for Learning and Online Teaching) and GLOBE as well as other national and international organizations.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.042 | 0.022 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.012 |
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; both teacher heads agree on what is shown here.
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".