Sustainability in Hospital Food Catering: How We Can Adapt to the New Reality
Bibliographic record
Abstract
Purpose: The healthcare sector is an important area for sustainable food initiatives, given its inherent mission to heal and its substantial impact on the food system. Foodservice managers can take part in these initiatives by using sustainable menu practices (SMPs). This study aimed to explore managerial perceptions of barriers and facilitators to adopting SMPs in Québec healthcare institutions. Methods: Seventeen foodservice managers were recruited through purposeful sampling to participate in a qualitative semi-structured interview. The Diffusion of Innovations theory was used to assess the main determinants of the diffusion of an innovation (SMPs) through a complex social system (healthcare organization). Results: Participants reported more barriers than facilitators. Lack of support at many levels was recognized as a major hindrance to SMP adoption, as were shortfalls in political directives. Increased collaboration between all food system actors and better communication in healthcare were perceived as needed for increased SMP adoption. Conclusions: This research contributes to an in-depth understanding of managerial experiences in SMP adoption in various regional and healthcare settings. Findings suggest the need for support and strategies that would remove important barriers for foodservice managers and contributed to the development of a guide to support foodservice managers in implementing SMPs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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 | 0.028 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.022 | 0.025 |
| Open science | 0.005 | 0.020 |
| Research integrity | 0.017 | 0.022 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".