Aerobic colony count assessment on projector remote controls at BCIT major classrooms
Bibliographic record
Abstract

 Classroom equipment has been linked to different outbreaks. Surfaces such as tables, chairs, keyboards can harbour pathogens such as Noro virus, Methicillin-resistant Staphylococcus Aureus (MRSA), Influenza A virus and Vancomycin-resistant Enterococci (VRE). Bacteria and viruses can then be transferred to another individual by the mode of touch and leading to potential infections when the individual touches their mouth, nose, eyes or open wound. Institutions usually have their own cleaning and sanitation schedule that covers most of the items in a classroom. However, some common items have been overlooked. Take the project remote controls at the British Columbia Institute of Technology (BCIT) for example. They are often found in filthy condition due to the amount of usage. It is unclear how many sicknesses have been the result of neglecting this device out of their daily cleaning and sanitization schedule. This paper examined the sanitation status of projector remote controls at BCIT. The focus has been placed on major classrooms and laboratories at building SW 1, SW 3 and SE 12 in BCIT. By utilizing the Aerobic Plate Count method, projector remote controls were swabbed using the wet swabbing technique. Swabs were then incubated and results in colony forming units per area in center meter square (CFU/cm2) were collected. A wide range of CFU/cm2 values were observed from projector remote controls. The maximum CFU/cm2 value obtained was 177 and the minimum value was 0. Inferential statistics was performed comparing the mean CFU/cm2 to a stand value of 5 CFU/cm2. Result showed that the mean CFU/cm2 of remote controls in SW 1, SW 3 and SE 12 at BCIT are statistically significantly more than the standard value of 5 CFU/cm2. This suggest that most of the remote controls at BCIT are not in sanitary conditions and BCIT should start to include remote controls into their daily cleaning and sanitization program to prevent students from contracting potential bacteriological infections.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".