Réaliser une étude sur le potentiel de réduction du gaspillage alimentaire dans la région du Saguenay-Lac-Saint-Jean
Bibliographic record
Abstract
Plusieurs organisations et organismes environnementaux à but non lucratif luttent contre le gaspillage alimentaire qui ne cesse de se propager d’année en année. Pour réduire le gaspillage, ils réclament les surplus alimentaires auprès des épiceries, des restaurants, etc. pour les redistribuer aux personnes dans le besoin. Actuellement, le taux de gaspillage alimentaire est plus élevé dans les foyers, principalement en raison de mauvais inventaires lors des achats. Le nombre de kilogrammes d’aliments qui se retrouvent dans les poubelles inquiète les autorités québécoises, notamment RECYC-QUEBEC, qui lutte contre l’avancée du gaspillage alimentaire au Québec. L’objectif de cette étude est de réduire au mieux le gaspillage alimentaire dans la région du Saguenay-Lac-Saint-Jean. La problématique est par conséquent la suivante : Comment amener la population du Saguenay-Lac-Saint-Jean à freiner le gaspillage alimentaire ? Pour répondre à cette problématique, les données secondaires provenant de sources multiples, de lutte contre le gaspillage alimentaire seront analysées, avec une attention particulière pour la région du Saguenay-Lac-Saint-Jean au Québec. Les réponses récoltées montrent qu’il est important de prendre des mesures à la maison et à l’extérieur pour réduire le gaspillage alimentaire. À la maison, il est recommandé de planifier les repas, de dresser une liste d’achats, de conserver les aliments correctement, de cuisiner les restes et de les congeler pour plus tard. Il est également important de ne pas jeter les aliments qui sont encore bons à manger. Pour éviter le gaspillage alimentaire à l’extérieur, il est recommandé de commander des portions plus petites, de partager les plats, de demander des restes à emporter et de ne pas commander plus que ce dont on a besoin. Le gaspillage alimentaire est un problème important qui a des conséquences négatives sur l’environnement et la société. En prenant des mesures pour réduire le gaspillage alimentaire, nous pouvons tous contribuer à protéger l’environnement et à nourrir les personnes dans le besoin. \n \nSeveral non-profit environmental organizations and organizations are fighting against food waste which continues to spread from year to year. To reduce waste, they collect surplus food from grocery stores, restaurants, etc. to redistribute them to people in need. Currently, the rate of food waste is higher in households, mainly due to poor inventory when shopping. The number of kilograms of food that ends up in trash cans worries Quebec authorities, in particular RECYQUEBEC, which is fighting against the increase in food waste in Quebec. The objective of this study is to reduce food waste as much as possible in the Saguenay-Lac-Saint-Jean region. The problem is therefore the following: How can we get the population of Saguenay-Lac-Saint-Jean to curb food waste? To address this issue, secondary data from multiple sources to combat food waste will be analyzed, with particular attention to the Saguenay-Lac-Saint-Jean region in Quebec. The responses show that it is important to take steps at home and away to reduce food waste. At home, it is recommended to plan meals, make a shopping list, store food properly, cook leftovers and freeze them for later. It is also important not to throw away foods that are still good to eat. To avoid food waste outside, it is recommended to order smaller portions, share dishes, ask for leftovers to take away and not order more than you need. Food waste is a significant problem that has negative consequences on the environment and society. By taking steps to reduce food waste, we can all help protect the environment and feed people in need.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".