Library-faculty collaboration using Wikipedia for learning and civic engagement
Bibliographic record
Abstract
Wikipedia and Academic Libraries: A Global Project contains 19 chapters by 52 authors from Brazil, Canada, Hong Kong, Ireland, Kyrgyzstan, Mexico, Netherlands, Nigeria, Scotland, Spain, and the United States. The chapters in this book are authored by both new and longtime members of the Wikimedia community, representing a range of experiences. “This book is the perfect retort to anyone who claims Wikipedia has no place in higher education. There is no resource more global or better suited to supporting student (and staff!) development, from media literacy to civic participation, critical thinking or research skills, anti-racism to employability. So read this and ask yourself, why isn’t your library using it?” --Caroline Ball, Academic Librarian, University of Derby; UK Wikimedian of the Year, 2020 “Tertiary institutions all over the world are choosing Wikipedia as an answer to twenty-first-century existential questions such as: * What are the pathways to achieving information equity in a vastly diverse world where every voice deserves to be heard? * How can students learn information literacy skills in digital collaborative workspaces? * How can openness be integrated into academics so that knowledge can be a factor of shared, accessible human experiences and intellectual capital that can act as scaffolding for the generation of more knowledge? This book collates great examples of how academic librarians from Africa, Asia, Europe, North America, and South America are using Wikipedia to answer these questions and more!” --Nkem Osuigwe, PhD, Human Capacity Development & Training Director, African Library and Information Associations & Institutions (AfLIA)
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".