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
Research on strategic momentum considers how experience with innovation affects firms’ subsequent innovativeness. Traditionally the momentum literature has emphasized arguments for an accelerating effect of innovation experience, but recent critiques and contrasting empirical results suggest ambiguity regarding how experience with innovation affects subsequent innovative activity. In this study, we develop arguments for a more expanded view of strategic momentum, examining momentum in the form of temporal consistency of ongoing innovation. This expanded view argues that organizations have incentives for steady-state patterns of innovation in the form of temporal consistency of ongoing innovation. To explore this expanded view of momentum, we examine how experience with innovation facilitates these temporally consistent patterns of innovation, as well as how increasing organizational age may inhibit such consistency. Analyses of generational product innovation in business productivity software highlight the importance of temporal consistency for innovativeness and momentum.
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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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