3D Boundary Objects in Stakeholder Management: Knowledge Creators for the Project and Collaboration Facilitators
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
The study presented in this paper deals with the use of 3D boundary objects in stakeholder management. The main research objective is to understand the contribution that 3D boundary objects can make to a project in terms of knowledge and stakeholder engagement. The methodology used here is of a participatory and collaborative nature, and this choice is tied to the praxeological and theoretical context of the study. The results of the study show that 3D boundary objects facilitate the engagement of stakeholders and create knowledge in certain conditions, in particular related to the management style of the project manager, his or her experience and expertise. The praxeological and theoretical implications encompass both learning for a practitioner and the pertinence of enriching certain project management conceptualizations.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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