Understanding Public Libraries’ Conversations: Promises and Challenges of Microblogging Data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines the concept of “conversation” on Twitter as expressed by both social media metrics and network analysis. This paper offers a methodology for studying library engagement on Twitter and reflexively critiques the method to probe different discursive styles and technical expressions of “engagement” by Canadian public libraries.Cet article examine le concept de « conversation » sur Twitter tel qu'il est exprimé par les métriques de médias sociaux et l'analyse de réseau. L’article propose une méthodologie pour étudier l'engagement des bibliothèques sur Twitter et critique par réflexe la méthode pour sonder différents styles discursifs et expressions techniques de « l'engagement » des bibliothèques publiques canadiennes.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.005 | 0.054 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| 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 it