Bibliographic record
Abstract
Introduction: Oral health is considered as being free from any kind of oraldisease. Objectives: To explore the LAYMAN’S PERSPECTIVE regarding oral health, hisawareness about oral diseases. To examine their attitude and beliefs regarding the maintenanceof oral health. Study Design: We conducted mixed study on educated and uneducated people.Study Period: 01 May, 2016 to 01 May, 2017 Study Place: Punjab dental hospital, Lahore.Material & Methods: Qualitative method was used to collect knowledge and perspective ofuneducated people. Quantitative method was used to collect data from educated people. Weinterviewed uneducated people in differenst places of Lahore and questionnaires were filled byeducated people. Results: 58% of educated people and majority of uneducated people thinkthey should visit dentist only at the time of need. 73% educated people said bleeding gumsare indicative of oral disease, while majority of uneducated people said it does not indicateoral disease. Educated people were somewhat more aware of oral health and oral diseasewhile uneducated people were unaware of even maintenance of oral health and its importance.Conclusion: Education makes the difference. Educated people have more awareness aboutoral health. Still awareness is needed a lot.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.269 | 0.073 |
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".