General radon gas knowledge test assessment for BCIT students
Notice bibliographique
Résumé
Background Vancouver is located in a generally low-radon hazard zone. However, other parts of British Columbia such as the BC Interior or Northern BC are classified as high-radon hazard zone (or zone 1) due to the geological composition of rocks and soils in those areas. Despite the significant health risks associated with radon gas exposure, many BC residents and people across Canada have little to no knowledge regarding the topic. Since Post-secondary schools, such as the British Columbia Institute of Technology (BCIT), are places where knowledge is distributed and shared to our societies, it is important to assess students’ general knowledge background regarding radon gas. The result can then be extrapolated to the general populations. Methods An electronic survey was conducted to determine whether students in the six schools at BCIT have different background knowledge level regarding radon gas. The survey also determines students’ radon background knowledge based on different geographic regions they reside. The survey was conducted in-person at three main locations across BCIT’s Burnaby campus. It was administered using Google Forms and distributed to participants on Microsoft Surface 2. Results The One-way ANOVA statistical analysis result indicated that there is a significant difference in mean radon survey scores among the six various BCIT schools(p=0.009). In addition, the Tukey Test revealed that students from the School of Health Science have an average radon survey score which is significantly different when compared to students from the School of Business. However, it was found that there is no significant difference in the mean radon survey scores between the School of Business and other schools at BCIT. Nonetheless, it was evident that the School of Health Science students had relatively higher radon survey scores and thus, were more knowledgeable regarding radon gas compared to students from the other five schools. When analyzing survey scores among students residing in various geographic regions, the test showed that there is no significant difference in mean radon survey scores among BCIT students living in various geographic locations(p=0.46). Conclusion Based on the result of the study, the result showed that there is a significant difference in radon gas knowledge among BCIT students who majored in different schools. The School of Health Science students were more knowledgeable regarding the topic of radon gas compared to students in other schools. Nonetheless, all BCIT students achieved an average radon survey score of less than five out of ten, which was considered a failure score (Less than five out of ten). This showed that most BCIT students had very limited knowledge regarding radon gas and there were very limited amount of educational initiatives or campaigns available for students at BCIT. BCIT’s student association is recommended to create educational sessions across campus to raise student awareness regarding radon gas. At the community level, governments and various agencies such as the BC Lung Association need to work together to create radon awareness campaigns across BC and the rest of Canada. In order to get a more accurate representation of the radon gas knowledge level among people in BC, more research studies need to be conducted in other schools or general population groups.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».