Bridging Construction Workers’ Minds and Bodies: A Conceptual Approach
Bibliographic record
Abstract
Cognitive and physiological abilities are essential in construction projects, which involve a complex and dynamic array of tasks and decisions. Cognitive abilities, such as problem-solving, decision-making, and critical thinking, are used to identify potential issues and develop innovative solutions, while physiological abilities, such as physical strength, endurance, and dexterity, are necessary for performing heavy and critical physical tasks. Both abilities are essential for communicating effectively within the team, adapting to unexpected changes, adjusting the plan as necessary, and implementing required changes. While several studies have explored cognitive and physiological abilities generally, this paper aims to conceptualize the relationship between cognition and physiology in construction to bridge construction workers’ psychology and physiology through a conceptual approach. After defining cognitive and physiological abilities, links among them are drawn, and their value for different social and personal skills in construction, such as collaboration and improvisation, is explored.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".