Document supply of grey literature and open access: ten years later
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
Purpose – The paper aims to investigate the impact of the open access movement on the document supply of grey literature. Design/methodology/approach – The paper is based on a comparative survey of five major scientific and technical information centres: The British Library (UK), KM (Canada), INIST-CNRS (France), KISTI (South Korea) and TIB Hannover (Germany). Findings – The five institutions supplied less than 1.8 million supplied items in 2014, i.e. half of the activity in 2004 (−55 per cent). There were 85,000 grey documents, mainly conference proceedings and reports, i.e. 5 per cent of the overall activity, a historically low level compared to 2004 (−72 per cent). At the same time, they continue to expand their open access strategies. Just as in 2004 and 2008, these strategies are specific, and they reflect institutional and national choices rather than global approaches, with two or three common or comparable projects (PubMed Central, national repositories, attribution of DOIs to datasets, dissertations and other objects). In spite of all differences, their development reveals some common features, like budget cuts, legal barriers (copyright), focus on domestic needs and open access policies to foster dissemination and impact of research results. Document supply for corporate customers tends to become a business-to-business service, while the delivery for the public sector relies more, than before, on resource sharing and networking with academic and public libraries. Except perhaps for the TIB Hannover, the declining importance of grey literature points towards their changing role – less intermediation, less acquisition and collection development and more high-value services, more dissemination and preservation capacities designed for the scientific community needs (research excellence, open access, data management, etc.). Originality/value – The paper is a follow-up study of two surveys published in 2006 and 2009.
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 | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.021 | 0.034 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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