ACOPLAMENTO BIBLIOGRÁFICO NA LITERATURA INTERNACIONAL SOBRE INOVAÇÃO ABERTA NO DESENVOLVIMENTO DE SOFTWARE
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
Software is ubiquitous in an information-based society. Market complexity requires companies to employ open innovation, incorporating external knowledge and providing knowledge to its’ partners. It is aimed to investigate the characteristics of international scientific literature on open innovation and software development, their theoretical affinities and the most relevant authors. As methodological procedures, bibliographic coupling is used, with Social Network Analysis principles, verifying: references in common between papers on this theme, production by country and its annual average. As a result, it is evident that developed countries have higher production on the topic, despite the low annual average. The most referenced papers discuss profitability strategies using open source code. It is concluded that open innovation enables software companies to share knowledge and contribute to the development of society
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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