Use and access of grey literature in special libraries may be hindered by lack of visibility and cataloguing
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
A review of: 
 
 Ranger, Sara L. “Grey Literature in Special Libraries: Access in Use.” Publishing Research Quarterly 21.1 (Spring 2005): 53-63.
 
 Objective – To examine the barriers to making grey literature (literature not controlled by commercial publishers) easier to access in special libraries.
 
 Design – Interviews.
 
 Setting – Variety of special libraries (government, corporate and specialized academic) in the United States.
 
 Subjects – Sixteen librarians from fourteen organizations in Washington, Michigan and Texas were interviewed. Four of the organizations were government libraries, four were corporate libraries and five were specialized academic libraries. One of the interviews was not used because the organization did not maintain a collection of paper-based grey literature.
 
 Methods – Librarians were selected as possible interview subjects via three methods: some were previously familiar with the author; some were referred to the author by friends, family and colleagues; two candidates volunteered in response to a presentation of the project at a professional meeting. Interviews were conducted between February 2002 and May 2003. A standard set of seven questions were used, but often followed with further questions. The interviews were conducted either in the library or the librarian’s office. The interviews were tape-recorded and the answers were written down. Interviews typically lasted between fifteen and thirty minutes and asked about the current state, holdings, access and use of grey literature in the special library.
 
 Main Results – Results from the interviews suggest a wide variance in the percentage of users that access grey literature. Grey literature was used less in the corporate libraries than the academic and government libraries. The percentage of the collection made up of grey literature also varied widely between the different libraries. Reports were found to be the most popular form of grey literature, although most of the libraries reported owning conference proceedings and newsletters in addition to reports. One interesting observation found during the interviews was that most of the users of grey literature are also producers of grey literature. The librarians surveyed reported that some of the reasons for using grey literature included use in research, to write (often more grey literature), interest in the topic, for class assignments, as records of previous practices, for localized studies, and for creating models and practices. Results found that for the libraries surveyed, much of the grey literature remains uncatalogued and what has been catalogued was done using a variety of methods. Over half of the libraries surveyed had their grey literature accessible online.
 
 Conclusion – Two main reasons were cited as explanations for why grey literature was not used as much as it should be: lack of cataloguing and visibility. In many of the libraries surveyed, much of the grey literature had not been catalogued, making it difficult to find and use the resources. Reasons cited for not cataloguing grey literature include lack of time, funds and/or knowledge. As well, in many of the libraries surveyed, it was found that the holdings of grey literature were not readily visible to the users, so users were not even aware that it existed.
 
 To improve the awareness and accessibility of grey literature, the author recommends regional depositories for grey literature, international standards for cataloguing and more cooperation between special libraries.
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 | 0.001 |
| 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 | 0.002 | 0.420 |
| 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