Innovation, Identities and Resistance: The Social Construction of An Innovation Network
Bibliographic record
Abstract
This paper explores the process of diffusion of a socio‐technical innovation among workers of a large microelectronics firm. Actor–network theory (ANT), which draws on the sociology of science and technology, is applied to the analysis of socio‐technical innovation in order to understand the actions of creating and putting the actors’ arguments into action. Actors constructed and organized these arguments with the aim of diffusing innovation among workers whose support was essential to the project’s success. The authors of the innovation project wanted to change the state of relations between different actors. In the present study, the aligment of identities was established according to the criteria defined by the managers and engineers but the expected benefits of the innovation, in this case, technology and teamwork, were not automatically accepted. Network analysis reveals how persuasive arguments that repudiate the old reality and justify steps to create the new reality are constructed. This article will reveal how innovation is constituted and the form it takes by following the chain of arguments and the responses of the actors involved.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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; a candidate call from one teacher head, 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".