Sharing and Participation: Mediating Public Library Values through the Social Catalogue
Bibliographic record
Abstract
Taking an actor-network approach, this study explores the social catalogue from the perspectives of the designer, library organization and users. Findings indicate that the library and their users have been enrolled into the vendor's blackbox of design structures and templates and that there has been limited use of social media functions.Au moyen de l’approche acteur–réseau, cette étude explore le catalogue social du point de vue du concepteur, de la bibliothèque et de l’usager. Les résultats montrent que la bibliothèque et ses usagers ont accepté les arguments des fournisseurs en matière de design et de gabarits, mais que l’utilisation des fonctions sociales demeure limitée.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".