Ownership versus access: the CISTI source/SUMO experience at McGill University
Bibliographic record
Abstract
Since November 1996, the Physical Sciences & Engineering Library at McGill University has established a new Subsidised UnMediated Ordering (SUMO) service for its users: the CISTI Source/SUMO service, a one‐stop shopping service where the patrons (faculty, staff and graduate students) can browse the CISTI Source Table of Contents database over the Web, order their articles and have them sent directly to their desktop by CISTI (Canada Institute for Scientific and Technical Information) without having to search McGill’s OPAC. A blocking mechanism is set in place so that currently owned journal subscription articles cannot be ordered. This service has proved to be a better alternative to the traditional acquisition of journals (both paper and online) and the interlibrary loan service. The CISTI Source/SUMO service has provided more pertinent journals, more quickly and more readily than before and in a much cheaper way than with any journal subscriptions. It is one of the best ways to cope with the rapid increase in journal prices.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".