The University Library as Information Broker to Industry and Commerce
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
From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.The majority of libraries still provide the majority of their services for free. But fee-based information services attached to non-profit making institutions such as libraries is not a novel concept any longer. The information explosion has brought many changes to, amongst others, the university library and at present industry and commerce rely heavily on the expertise offered by the staff of those libraries.This paper does not propose to address any ideological issues of "feeversus free" but would rather focus on the following: 1 the need for industry and commerce for utilizing the university library and its resources;2 the university library as information broker with reference toinformation skills complemented with specialized subject knowledge and experience 3 the organization of the wide range of services offered and the pricing of these services; and4 a short, but detailed description of INFOBANK, a dynamic andsuccessful regional fee-based information service to industry and commerce at the library of the University of Stellenbosch, South Africa.A university library can therefore be even more effective in promoting access to information by making it available in the community, albeit for a price. Libraries interested in establishing such fee-based services should nevertheless be aware of the pitfalls associated with the creation and management of these services. Knowledge of the latter will undoubtedly help establish a programme that serves the needs of clients whilst contributing towards the overall image of the parent institution.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.006 | 0.045 |
| Open science | 0.002 | 0.001 |
| 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