The Slaughtering and Dressing Procedures of Livestock Inside the Butcher Shops Generate High Levels of Bacterial Contamination
Bibliographic record
Abstract
Background and Objective: Raw meats from animal carcasses are most frequently contaminated with bacteria during the slaughtering and dressing process. Therefore, this study aimed to determine the bacterial quality of raw meat from lamb, goat and beef carcasses immediately after slaughtering at butcher shops in Al-Mafraq city-Jordan.Materials and Methods: A total of 243 meat samples were aseptically cut from the hand, leg and back of carcasses at three butcher locations, designated as site-C (the central part of the city), site-N (the north side of the city) and site-S (the south side of the city). Samples were processed and then cultured on nutrient agar and xylose lysine deoxycholate (XLD) agar plates aerobically at 35 °C for 48 h for enumeration of bacteria and total Enterobacteriaceae count (TEC) by aerobic plate count (APC). APC and TEC were expressed as colony forming units per gram of meat (CFU/g).Results: APC and TEC in the raw meats ranged from 11.6-28.1 X 106 CFU/g on nutrient agar and from 23-120 X 103 CFU/g on XLD agar medium. By meat type, the lamb had the highest APC and TEC, followed by beef. By location, the highest APC and TEC were shown in the C-Site, followed by the S-Site. There were significant differences between APC counts by location and meat type (P
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".