Telephone Communications Systems; Universities IDENTIFIERS *Canada
Bibliographic record
Abstract
This report provides a summary of a survey of 42 Canadian university libraries conducted in 1984 which identified 20 libraries that were involved in providing services for off-campus and distance education students. Thirteen categories were established to nlassify the components of a comprehensive library service for such students in Canada. Data from the 20 libraries, the three universities in British Columbia, and the Open Learning Institute were then entered on a survey form designed to record each institution's involvement in these 13 categories and the forms were returned to the respondents for verification. A summary table displays the results of the data analysis for each of the libraries and each of the categories: (1) availability of core collections; (2) specific requests; (3) reference queries; (4) special telephone lines; (5) advertisement of services; (6) a librarian responsible for such services; (7) support staff responsible for such services; (8) proviaion of bibliographic instruction; (9) online bibliographic services; (10) interlibrary loans; (11) charges for services; (12) assessment of course needs; and (13) evaluation of service effectiveness. Also included are two handouts, "Funding an Off-Campus Library Service " and "Arguments to Justify the Establishment of a Toll-free Telephone Service for Off-Campus Students"; the form which defines the 13 categories; and a 15-item selected bibliography. (ccn) Reproductions supplied by EDRS are the best that can be made from the original document. ea
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.024 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.219 | 0.072 |
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".