Longitudinal Analysis of Project Management Maturity
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
This paper examines and identifies core dimensions of assessment frameworks, including five core requirements for conducting assessments, two key processes of assessing organizations (audit and self-assessment), and two dimensions of improving performance (delivering data and applying data). It discusses the evolution of using maturity models to assess organizational capabilities and the development of maturity models to assess project management competencies. It then outlines a five-level project management maturity model that the authors used to assess the way 550 international organizations practice project management. The paper lists the challenges, advantages, and disadvantages of using this model; it identifies the practices synonymous with improvements in demonstrated maturity. It also compares the results ofdata collected since this benchmarking study's inception, results that show underlying project management trends, such as changes in organizational capabilities and performance. It reviews the impact of these trends on the studied organizations and the way they manage their projects. It concludes by detailing four key—and unexpected—results.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 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 it