School-based Training Effects on Liver Fluke and Cholangiocarcinoma Prevention: A Comparative Case Study of Individual Differences Among Elementary Teachers in Northeast Thailand
Bibliographic record
Abstract
Abstract Liver fluke and Cholangiocarcinoma (CCA) infestations pose significant health challenges, particularly in northeastern region of Thailand. Addressing health issues through an educational lens is of paramount importance to stakeholders in various fields of education, including health education and social education. Collaboratively, stakeholders strive to develop initiatives that enhance understanding of this disease among people in the region. An essential step toward achieving this objective involves recognizing the variations in individuals' responses to educational activities, thereby facilitating the development of locally contextualized and effective learning programs. This study was to explore the differences among elementary teachers participating in training courses for the prevention of cholangiocarcinoma and liver fluke disease in Khon Kaen province. Employing a pre-experimental design, the study involved one hundred and thirty-nine elementary teachers as research participants. Pre- and post-test served as the research instrument, and data analysis entailed the use of descriptive statistics and a t-test. The findings revealed that most of the participants were female, held bachelor's degrees, and were affiliated with schools in Ban Phai district. Moreover, the study demonstrated a significant enhancement in participants’ understanding of liver fluke and CCA prevention following the training. Notably, the study identified a significant impact of the school’s geographical location on training effectiveness. This study contributes to the existing knowledge base, offering insights to tailor more precise training programs in regions where liver fluke and Cholangiocarcinoma disease are prevalent.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".