Contribution of media on knowledge generation about tuberculosis in Palpa district, Nepal
Bibliographic record
Abstract
Background: Media is the means of communication, as radio, television and newspaper that reach or influence people widely. It is a tool for the transfer of information and ideas to audiences. The media plays the crucial role in instructing, motivating and guiding the public for control of tuberculosis. The objectives of the study were to study the knowledge and the source of information regarding tuberculosis.Methods: A cross sectional study was conducted whereas multistage sampling was adopted.Results: Around half of respondents (46.5%) were 15-24 years of age and 63.9 per cent were female. Overwhelming number of the respondents (95.1%) had radio and more than one fourth (76.4%) had television at home. More than three quarter (88.9%) respondents said droplet infection is the mode of transmission of tuberculosis but 11.1 per cent said sharing common utensil. 97.2 per cent respondents had good behaviour towards TB patient. In respect to knowledge score, 18.1 per cent had high level of knowledge followed by 56.2 per cent had medium and 25.7 per cent had low level. Fifty per cent respondents said television, 46.5 percent said radio were the source of information for tuberculosis.Conclusions: The study found that majority of the respondents had satisfactory knowledge level about tuberculosis. The results exemplify the contribution of media on improving TB related knowledge. Most of the respondents ranked media, i.e., radio and television is the number one source of information.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".