The Impact of Disruptive and Sustaining Digital Technologies on Scholarly Journals
Bibliographic record
Abstract
Clayton M. Christensen's The Innovator's Dilemma is viewed within academic circles as one of the most important management books of the last twenty years. Christensen described the impact that disruptive and sustaining technologies had on various industries. Yet no one has investigated disruptive and sustaining technologies by applying Christensen's analytical framework to scholarly journals. This paper begins by discussing Christensen's principles of disruptive and sustaining technologies and the response that other intellectuals have had to their explanatory power and possibility. The paper next discusses how scholarly publishers are being affected by disruptive or sustaining technologies, specifically digital journal operations (e.g., open access, preprints, library publishing operations, and open-resource repositories). What strategies, then, can journal publishers, university presses, or academic societies take to preserve their pivotal role when scholarly journal publishing continues to change in response to sustaining and disruptive digital technologies?
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How this classification was reachedexpand
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 | 0.004 | 0.029 |
| 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 | 0.000 |
| Scholarly communication | 0.076 | 0.255 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".