The Effect of Indoor Air Quality in University Classrooms on the Immunity of Its Occupants
Bibliographic record
Abstract
The spaces of the universities are among spaces in which it is necessary to provide indoor air quality, it focuses on airborne pollutants, health, safety, and thermal comfort issues, which will reflect positively on the health and performance of occupants, as universities are under increasing pressure to deal and respond with climate changes and sustainable development issues and other challenges associated with them. The University of Baghdad is among the prestigious universities at the level of Iraq and the Arab world as a whole, and to face the hot and dry climatic challenges of Baghdad city and ensure the strengthening of the immunity of the occupants in the educational buildings, the research problem was represented by testing indoor air quality in educational spaces and knowing its effects on the occupants. Therefore, the study evaluated two types of educational spaces (studio and classroom) in two evaluations, the first is the objective evaluation, which uses sensors to monitor indoor air quality, where (CO2, temperature, and relative humidity) were evaluated, and the second evaluation is a self-assessment, where the distribution of questionnaires on students, that tested the effect of air quality and appear disease symptoms on them, was monitored in two different evaluation periods, summer and winter. The obtained results showed that CO2 concentration levels were above the recommended limits in both spaces but the temperature and humidity are in an acceptable range. So based on the measured results, methods are proposed to improve indoor air quality in the classroom, and then came up with recommendations could be applied in similar spaces in the future.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| 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".