Physical activity promotion in call centres: employers' perspectives
Bibliographic record
Abstract
This study followed a predominantly qualitative approach to explore the perspectives of employers in Sudbury, Ontario, Canada, call centres (CCs) regarding physical activity (PA) promotion in workplaces, by identifying current practices and employers' motivation to promote PA, as well as perceived facilitators and barriers. In-depth interviews were conducted with 15 managers in 10 of 12 local CCs and questionnaires were used to collect quantitative information about participants and their workplaces. Thematic analysis revealed that participants' responses to recommendations for PA promotion were generally positive and some CCs were engaged in some PA initiatives. Employers' motivations to promote PA included direct benefits to the employer, concern for employee well-being and the greater good. Barriers to PA promotion within CCs included the nature of CC work, managers' concerns regarding participation, fairness and cost and special limitations of the workspace. Results indicate additional actions and supports are required to facilitate implementation of PA in CCs according to governmental recommendations. Efforts are required to increase awareness and use of existing resources. Smaller organizations may require more assistance to promote PA than those with a larger number of employees and may benefit from enhanced interaction with existing networks and public health programs and resources.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".