An Investigation of the Socio-Economic Status of the Addicts in Lashar and Nikshahr County and Its Comparison With Ordinary
Bibliographic record
Abstract
The world today is threatened by great disasters and catastrophes and one of the greatest of them is addiction. Addiction is a disaster that threatens all age and sex groups. For instance, in our country more than 2% of people are addicted. In this study, two groups of addicted (170) and healthy (167) individuals that had been selected in the systematic random method, were investigated in terms of the socio-economic status. The data was collected through the questionnaire. The average age and education level were 34.8 and 4.22 respectively among the addicted and 31.27 and 6.3 respectively among the healthy individuals. 83.1% of the addicted and 74.7% of the healthy individuals were married. A significant difference was observed between the education level and addiction with the p=0 using the t-test. A significant relationship was observed between the existence of addiction in the family with the p=0 and addiction among friends and addiction with the p=0.0001 and between job and addiction with the p=0.0115 and between addiction and the level of income with the p=0.0065.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".