An Investigation Into Factors That Affect Adoption and Diffusion of Innovations in Publishing and Librarianship: A Grounded Theory Approach
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
Getting innovations adopted is often difficult. Not because they lack obvious advantages, but because of the complex nature of the adoption and diffusion process. If everyone included in their strategy, the six elements of the ‘innovation diffusion mix’ identified in this study, adoption and diffusion would be much easier.Parvenir à adopter des changements est souvent difficile. Non pas que ceux-ci sont désavantageux, mais plutôt à cause de la nature complexe des procédures d’adoption et de diffusion. Si chacun pouvait inclure dans sa stratégie, les six éléments de « l’ensemble de diffusion de changements » identifiés dans cette étude, l’adoption et la diffusion seraient beaucoup plus facile à réaliser.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.012 | 0.099 |
| Open science | 0.001 | 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