Investigating the Effects of Pandemic Related Workplace Changes on the Wellbeing of Ontario’s Food Hospitality and Food Retail Employees
Bibliographic record
Abstract
Food hospitality and food retail businesses underwent considerable transformations due to the COVID-19 pandemic. These alterations have the potential to affect how individuals in these industries engaged with their workplaces. This thesis identifies how COVID-19 transformed food hospitality and food retail businesses in Ontario and investigates how these changes altered employee wellbeing. The experiences of 39 staff members across these two industries were collected via semi-structured interviews that took place between June 2020 and May 2021. Grounded theory analysis was used to explore this dataset and a distinct theoretical frame emerged for the food retail and food hospitality industries respectively. Results demonstrate that for food hospitality employees their workplaces provided a combination of benefits and threats to wellbeing. In contrast, food retail employees emphasized the imbalance that existed between their perceived efforts and rewards. Future studies should consider investigating how these workplaces might be adapted to better support employee wellbeing.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".