Bibliographic record
Abstract
Memorial University Libraries Lecture Series presents Scholarly Communication in the Digital Age with visiting guest lecturer Dr. Vincent Lariviere, Canada Research Chair on the Transformations of Scholarly Communication and Associate Professor of Information science at the Ecole de bibliotheconomie et des sciences de l'information, l’Universite de Montreal. Created in the second half of the 17th Century, journals became the fastest and most convenient way of disseminating new research results, outranking correspondence and monographs. The advent of the digital era then challenged their traditional role and form. Indeed, digital technologies, which are easy to update, reuse, access, and transmit, have changed how researchers produce and disseminate knowledge, as well as how this knowledge is accessed, used, and cited. It also changed how libraries subscribe to scholarly content. Drawing on historical and contemporary empirical data, this talk will address the past and current transformations of scholarly communication, with an emphasis on the role of journals in this new ecosystem, and present the results of the first large-scale analysis of journal usage in Canada.
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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 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.019 |
| Science and technology studies | 0.020 | 0.015 |
| Scholarly communication | 0.034 | 0.015 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".