Tablet diffusion, adoption and implementation in academic libraries: A qualitative content analysis of librarians' discourse on blogging platforms
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 study examines the evidence on blogs and tweets about the diffusion of tablets in academic libraries to find out why do early adopters or academic librarians adopt tablets and implement them into library services? Results reveal two factors why academic librarians and libraries adopt and integrate tablets.Cette étude examine les traces sur les blogues et les microbillets concernant la diffusion des tablettes dans les bibliothèques universitaires. L’objectif est de déterminer pourquoi les acheteurs précoces ou les bibliothécaires universitaires adoptent les tablettes et les intègrent dans leurs services en bibliothèque. Les résultats révèlent deux facteurs expliquant pourquoi les bibliothécaires universitaires et les bibliothèques adoptent et intègrent les tablettes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.046 |
| Open science | 0.002 | 0.001 |
| 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