Scholarly Communication at Canadian Research Libraries: Conversations with Librarians
Bibliographic record
Abstract
INTRODUCTION The landscape of librarianship in relation to the practice of scholarly communication is evolving. The objectives of this study were to investigate: the scope of scholarly communication activities within Canadian research libraries; the organizational structures in place to support them; and the roles of librarians who participate in them. Key challenges to its advancement and how librarians envision its future were also investigated. METHODS Twenty-nine academic librarians from Canadian Association of Research Libraries member institutions participated in semi-structured, open-ended interviews. Interviews were analyzed for recurring themes. RESULTS Participants outlined initiatives, services, and structures to support scholarly communication at their institutions. Solo scholarly communication librarians, specialized teams, and committees were identified as primary structures. Liaison librarians play an essential supporting role regardless of structure. Individually, librarians are seen to have an impact as leaders and advocates in promoting scholarly communication. The concept of “librarian as researcher” is also important. Participants shared a desire for better communication and collaboration in this area. Many participants saw the need for standardized assessment and evaluation methods. Participants enumerated their greatest challenges and provided suggestions for addressing them in the future. CONCLUSION This study demonstrates that organizational structure can enhance scholarly communication activities in libraries. Leadership both at the personal and collective level is necessary to provide an impetus for scholarly communication activities. Librarians should be knowledgeable about the issues and be ready to deliver the “pitch.” Strengthening collaboration and communication among Canadian librarians is essential for moving the scholarly communication agenda forward.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Scholarly communication Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: no | Qualitative | low |
| gpt | Scholarly communication Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Qualitative | high |
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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.032 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".