A study on the current situation and causes of smoking among college students
Bibliographic record
Abstract
The total number of smokers worldwide is now more than one billion, accounting for about a quarter of the world's population, and tobacco use causes more than five million deaths worldwide each year. While smoking brings people pleasure, the toxic substances produced by the ignition of cigarettes can cause a variety of diseases. The data was collected from each school through a questionnaire and distributed online. For the questionnaire data, this paper uses C5.0 decision tree, chi-square test, logistic regression, and structural equation modeling to investigate the basic situation, causes, and influencing factors of smoking among college students, and to provide useful reference for improving the smoking situation among college students. In this paper, Fujian Medical University, Sunshine College, Fujian Information Vocational and Technical College, Fujian Arts Vocational College, Fujian Early Childhood Teacher's College, Jimei University, Chengyi College of Jimei University, and Jiageng College of Xiamen University were selected as the overall sample.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".