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
Currently, all major IT and telecom firms are busy trying to stimulate non-contractual complementary developments around their own core competences and offerings. But little has been done to explain the logic, strengths, and weaknesses of non-contractual innovation. The literature on open-platform leadership recognises the importance of non-contractual innovation, but only within the limited confines of a normative approach based on two implicit assumptions: that a platform's core and periphery are sharply and easily differentiated and that platforms are always grown and orchestrated from a monolithic core. Through analysis of two cases of decentralised open innovation: the emergence of video rental stores and the emergence of desktop-publishing systems. I argue that these assumptions do not apply to all open platforms. I conclude that by forcing a hierarchical framework onto the analysis, the normative approach underplays the role of non-contractual innovation and turns a blind eye to the radically self-organised and unforeseeable nature of some platforms' success.
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 | 0.002 | 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 | 0.003 |
| Open science | 0.000 | 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