Bibliographic record
Abstract
Background Construction is considered one of the more hazardous and high risk industries. In recognition of this, jurisdictions around the globe have devised and organised many ways to reduce and offset the costs of workplace injury. Aims/Objectives/Purpose To share the Canadian Federation of Construction Safety Association's—CFCSA—secrets of safety success with the global construction community at a world forum. Methods Thanks to effective industry lobbying and partnership with government, a Certificate of Recognition—COR— is required in all tendering for construction projects with government and many other major purchasers of construction services across Nova Scotia, like school boards, hospitals, housing and health authorities. As we prepare for 2012, more than 55% of the current industry participates in the COR programme. Results/Outcome Despite increases in the size of our industry, year-over-year, injuries in construction have decreased significantly. This is partially due to participation in the COR programme . Since the inception of the NSCSA there has been a 78.7% reduction in the number of Lost-Time Workers Compensation Claims in the construction industry. In 2011, the Nova Scotia construction industry recorded only 652 Lost-Time Claims; an historic low not reached since 1961. Significance/Contribution to the Field The NSCSA case study offers an innovative alternative service delivery option for safety programming and industry self-regulation.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads agree on what is shown here.
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".