Error aversion or management? Exploring the impact of culture at the sharp-end of production in a mega-project
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 research we present in this paper addresses the following question: What type of error culture does the rank-and-file workforce experience during construction, and does it help mitigate rework? We undertake an exploratory case study of an Alliance, which forms part of a transport mega-project. An error culture questionnaire is administered to the Alliance's subcontractors' workforce across four projects. We find that an error management culture positively correlates with reductions in rework and holds a divergent relationship with an error aversion culture. We further reveal a negative association between an error aversion culture and the ability to reduce rework. Consequently, we question the contemporary wisdom that assumes that error prevention should be combined with error management to create an adaptive culture, aiming to minimise the negative and maximise positive error consequences. We finally discuss the study's limitations and implications for future research examining error culture in construction projects.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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