Current status of factors leading to team performance of on-site construction professionals in Alberta building construction projects
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
A skill-measuring criterion or strategy can be used to optimize the scarce skilled labour force in the Canadian construction industry. The University of Calgary conducted an extensive study to assess the skill levels and team performance of field workers and managers in Alberta’s building construction projects. Over 150 workers and field managers were interviewed, surveyed with questionnaires and observed, to identify team efficiencies, skill levels, team spirit, and team perceptions of supervision. The average construction worker had over 15 years of field experience. Most of the workers were high school educated. More than 70% of the workers wanted to improve their career skills; however, internal and external opportunities were limited and (or) not promoted by the respective construction companies. A very few foremen had certified skills in administration, computer handling, planning, job management and work records. The research clearly noted the urgent need for training programs, for workers and field managers, to improve their present skill levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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