The Relationship Structure of a Transnational, Ego-centered, and Innovation-Oriented Network
Bibliographic record
Abstract
This study identifies the relationship structure of an ego-centered network by examining a transnational organization in the telecommunications sector that is oriented toward innovation. The study considers the dimensions of density, centrality, structural equivalence, and relationship content. Following the literature, we correlate the underlying concepts of network innovation substantiated through the technique of network analysis as a research method. The results suggest that the position of organizations in relation to the distance and pathways to other organizations in the network can influence the network’s capacity for innovation, conditioned by the strategic positioning of the focal company. This does not seem to be the case with the company considered by this study, as the strategic positioning of the matrix considers only innovative products with a worldwide scope, and not those with a more limited, local, or regional interest. The main contribution of this study is the identification of the relationship structure of a transnational, ego-centered, and innovation-oriented network with the aid of a statistical tool.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".