Open Access for the Medical Librarian
Bibliographic record
Abstract
The most important aspects of open access for the medical librarian are presented. Reasons for open access include access to research information, access to taxpayer-funded research, facilitation of evidence-based medicine, equity of access, promotion of author control, and controlling library costs. The two primary approaches to open access, via author self-archiving and open access publishing, are presented. Key open access policy developments are highlighted. Many of the major policy initiatives of the moment are from the research funders. From the researcher funders' point of view, open access means more research impact, more real-world impact when professionals can access the literature, and value is illustrated to the taxpayer, building support for further research funding. The world's largest medical research funders, including the U.S. National Institute of Health and the Wellcome Trust, have public access policies, and many more policies are in development. For example, two weeks ago the Federal Research Public Access Act was introduced in the U.S. Senate. One of the essential elements of open access policy is ensuring that researchers are required, not requested, to deposit works. In Canada, the Canadian Institutes of Health Research has a policy in development called Access to Products of Research; public comments are due May 15, 2006. The dramatic growth of open access - over 2,220 journals in DOAJ, over 7.3 million items in an OAIster search - is discussed, as is the idea of new roles for librarians in an open access environment.
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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.027 | 0.017 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.170 | 0.086 |
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".