The worksite as an asset for promoting health in Europe. Final results of the MoveEurope campaign.
Bibliographic record
Abstract
Non-communicable diseases are a leading cause of morbidity worldwide and are predicted to increase in the next years. In 2008, 36.1 million people died from conditions such as heart disease, strokes, chronic lung diseases, cancers and diabetes (1). According to the WHO, 63% of the deaths, 77% of the loss of Healthy Life Years and 75% of health expenses in Europe are caused by cardiovascular diseases, cancer, chronic respiratory illnesses and mental health problems. All of these diseases have in common is the presence of modifiable risk factors (such as tobacco smoke, low consumption of fruit and vegetables, excessive intake of fats). Acting on these factors would lead to a reduction in the incidence of the aforementioned diseases. According to several studies conducted in the USA, Canada and Europe, the workplace seems an ideal place for implementing successful preventive strategies for the improvement of lifestyles. In 2006, the European Network for Workplace Health Promotion launched the Move Europe campaign to promote a healthy lifestyle at work, with the financial support of the European Commission. This campaign set new quality standards in behaviour-related workplace health promotion (WHP) and identified and documented good practices. Another aim of the campaign was to promote the benefits of implementing WHP, particularly focusing on four fields of life-style related WHP: physical activity, smoking prevention, nutrition and mental health. In two years, 65,215 contacts have been recorded in dedicated websites, of which 9,761 in Italy. A total of 2,548 enterprises in Europe asked to be certified and 125 events (such as seminars, workshops, conferences)were held.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.012 |
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".