Opening the black box of project team members’ competencies improvement in a public sector organization for a successful transition to the project society
Bibliographic record
Abstract
The purpose of this paper is to investigate the project team member's skill developmental activities within the context of a public organization, as to suggest both a theoretical understanding and a procedure adapted for this development, which is based on a reflective approach. The methodology used is based on a qualitative inductive approach subject to a single case study. For an organization with a lightweight project matrix structure to efficiently decentralize the various HR practices related to skill development, the skills evaluation must be self-administered, the development plan and training activities are integrated into the project's lessons learned sessions and support is offered to the project team by an external party (coach). The developmental approach through learning in an occupational environment also enables the organization to adapt to the project society with collaborative and qualified management. This original research stems from its descriptive and comprehensive approach to adapt project management and HRM theories to inform public management.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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 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".