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
There has been a significant rise in the adoption of emerging technologies. Organizations are now re-evaluating their management practices to ensure they maintain a competitive advantage. While upper-level management is often enthusiastic about the transformative power of technologies such as Robotics Process Automation, lower-level employees face concerns about potential job loss. This chapter emphasizes that, amidst the excitement about automation and robotics, it is crucial for organizations to proactively prepare for the implementation of such technologies. To enhance successful adoption, prioritizing implementation readiness and garnering employee buy-in is vital. This chapter aims to contribute in a trifold manner: 1) Uncover the complex socio-technical processes that shape the adoption of automation and robotics technologies, 2) Emphasize the value of fostering an environment where organizations and employees are racing with and not against emerging technologies. 3) Present best practices to bridge the gap between resistance and readiness for adoption.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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