EDI Pilot Project Steering CommitteeFinal Report and Recommendations
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
Before 2006 the University Library received about 180,000 paper slips annually from six different approval vendors: Coutts, Blackwell, YBP/Lindsay & Croft, Harrassowitz, Touzot, and Casalini Libri. In May 2006 a steering committee was struck to determine how to move Selection & Acquisitions processes into an electronic environment. By mid‐2007 we had successfully implemented electronic slips and 9xx/EDI ordering with our three major vendors, two of whom had never worked with a SirsiDynix customer before. In late 2007 the EDI committee began to explore WorldCat Selection, which was implemented in 2008. This system includes slips from our three major vendors, as well as our smaller specialty vendors. It took almost a year to get all of the vendors properly configured and working to our satisfaction. Memorial was the first Canadian university to adopt WorldCat Selection, which provided us an opportunity to help OCLC shape and refine the system. This report provides a detailed look the EDI implementation process, including the findings of the committee, and our final recommendations for streamlining workflow.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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