Améliorer la salubrité des aliments et la productivité : Utilisation de la technologie dans le secteur de la transformation des aliments au Canada
Bibliographic record
Abstract
Le present document porte sur les facteurs qui contribuent a l'adoption de technologies de pointe dans le secteur de la transformation des aliments au Canada. On a observe un rapport tres important entre le nombre de technologies utilisees par une usine et les gains de rendement escomptes. D'autre part, les avantages que presentent une plus grande qualite et salubrite des aliments ainsi que les accroissements de la productivite sont etroitement lies a l'utilisation de la technologie. Les obstacles a l'utilisation de la technologie comprennent le cout des logiciels, les problemes de financement externe, l'absence de liquidites pour le financement et les problemes de gestion interne. Meme en tenant compte des differents avantages et couts associes a l'adoption de la technologie, on a constate que les plus grandes usines, celles qui sont controlees par des interets etrangers et celles qui font de la premiere transformation et de la transformation secondaire de meme que celles des branches d'activite des produits laitiers, des fruits et legumes et des produits alimentaires adoptent un plus grand nombre de technologies de pointe.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".