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
I organized and moderated the session Technical Services Roundtable at the 2011 Canadian Library Association Conference in Halifax. The session was Friday, May 27 8:30-10:00 am. \n \n41 people attended the session. We had 5 small groups that discussed 3 of the 7 questions that were provided. Much of the discussion was around RDA (the new cataloging rules), how the library catalog can/should work in conjunction with other discovery tools for obtaining catalog records, preparing for RDA implementation, general role of technical services departments given the many types of materials that are used by library patrons, and collaboration among libraries re catalogue records. \n \nThere was lively, animated discussion. Attendees commented that they greatly appreciated the opportunity to share challenges with people working in other libraries and in different types of libraries—academic, government, school libraries. I found the opportunity to share experiences with others working in the same area to be invaluable. Hopefully, this type of session will continue to be offered at the conferences in the future. \n \nThe rest of the conference was excellent. Sessions that I particularly enjoyed included ones about RDA, how to present library statistics information, copyright as applied to libraries, and information on the implementation of access to various mobile interfaces. The trade show was a great opportunity to learn about new initiatives and plans for the future from various vendors.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.007 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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