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
The Disruption Continuum explores the profound and ongoing forces that drive societal transformation in our era of relentless technological change. Examining pivotal historical moments reveals that disruption is not a one-time occurrence caused by a disruptor event or technology but a continuous, evolving process. The book highlights Generative AI's role in perpetuating this continuum, reshaping social, economic, and cultural landscapes. This book is particularly essential now as technological advancement accelerates, and the societal impacts of these changes become increasingly pervasive. By framing disruption as a continuous process rather than isolated events, it offers a novel perspective that aligns with the current reality of constant innovation. The book contributes to the field by emphasizing the need for ongoing adaptation and providing actionable strategies for navigating perpetual change. For business leaders, practitioners, and academics, the book underscores the necessity of strategic foresight, agility, and imaginative thinking to navigate this ongoing disruption. It provides practical guidance on establishing disruptive innovation hubs and preparing for future trends, emphasizing that adaptation must be continuous.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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