Bibliographic record
Abstract
Open Access (OA) is a trend that is undoubtedly on the rise. This poster presentation showcases the role that Open Access publishing plays in the realm of grey literature (GL). OA increases access, awareness, and visibility of previously hidden material, thereby acting as an essential complement to peer-reviewed findings. This poster also highlights how Open Access is supported in Libraries and Cultural Resources (LCR) at the University of Calgary (U of C). There is a $100,000 Open Access Authors Fund, which helps authors pay OA article processing fees. The University of Calgary institutional repository is over six years old and is the second largest university repository in Canada. The University of Calgary Press has a few OA journals and is investigating Open Monographs. LCR has digitized a large number of resources ranging from by-laws to historical photographs and made them freely available. LCR is a node in the Synergies project which is designed to bring Canadian humanities and social sciences journals more securely into the online environment; some of these journals will be Open Access initially and other journals may opt for OA in the future. Lastly, archivists, curators, and librarians in Libraries and Cultural Resources have established a mandate to deposit the results of their scholarly activities (e.g. articles, presentations, book chapters, etc.) in the U of C institutional repository. During the First International Open Access Week, which ran from October 19-23, 2009, LCR carried out a number of activities. For instance, there was a large staffed display on OA in the main (MacKimmie) library and smaller displays in the branch libraries. The campus media reported on LCR Open Access programs daily. The week culminated with a presentation by Bioline International founder Leslie Chan to a full house. The poster presentation is also an opportunity to broaden awareness and understanding of GL and OA to research and teaching as well as to raise questions for future discussions on how to facilitate better and more responsive access to digitally-created content.
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 | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.024 | 0.016 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.386 | 0.173 |
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".