How Digital Projects are Changing Contracts
Bibliographic record
Abstract
This chapter explores the impact of digital practice on contracts and vice versa. It highlights three main aspects: the interaction between digital technology and contract structures, the transformation of contracts and the alignment of information management with project delivery principles. The primary aim is to enhance project delivery by re-evaluating contractual mechanisms. It is revealed that digitalisation does not alter the core function of contracts but rather modifies their provisions to accommodate digital workflows. This includes reconsidering ownership of data, liabilities, rights, roles and responsibilities. Current standardised contracts are adapting through specific protocols to address these changes. The integration of project teams helps to distribute liabilities and responsibilities, promote shared risks and rewards and open book accounting. However, while new forms of contracts are emerging, significant socio-technical and cultural barriers are still evident. Considerable work remains to be done, calling for broader solutions to unlock the full potential of collaborative contracts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.027 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".