Boundary Objects as the Missing Link in the Orchestration of Resources: An Exploratory Study of Dassault Aviation Mirage IV and Rafale Programs
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
In this contribution, we investigate the use of boundary objects (Star and Griesemer) for the orchestration of resources (Teece). We propose a comparative case study elaborating on two Dassault Aviation military fighters under an abductive approach. In this contribution, we elaborate on the micro-foundations approach. Our contribution discusses several properties of boundary objects in relation with the orchestration of resources: type, granularity, openness, malleability, and completeness. We conclude that boundary objects are critical to orchestration. Their properties explain why they diversely impact on sensing, seizing and reconfiguring. They elaborate on knowledge articulation and teamwork, and require specific ways of working.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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