Injury Rate as an Indicator of Business Success
Bibliographic record
Abstract
Health and safety professionals and organizations have often suggested that promoting and improving health and safety in the workplace will improve business success. We conducted a study of all new small businesses that registered with the Workers' Compensation Board of British Columbia (WCB of BC) in the years 1993, 1995, 1996 and 1997, assessing their injury rate in the first 5 complete years of business. The data set represents 53,913 new businesses and 19,332 claims. Businesses were grouped by the number of years between registering for WCB coverage and termination of coverage. Injury rates were determined for each calendar year for each industry sector as injuries per 100 person-years, based on payroll information provided by the businesses. Across all industries, businesses that failed between 1 and 2 yr of start-up had an average injury rate of 9.71 while businesses that survived more than 5 yr had an average injury rate of only 3.89 in their first year of business (p<0.000001). The WCB of BC demonstrated a statistical correlation between health and safety in the workplace and the survival of a small business.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".