The behavior of tunisians during the lockdown of COVID-19
Bibliographic record
Abstract
Introduction The general confinement in Tunisia in the covid-19 pandemic is a new event for the Tunisian society with economic, social and psychological repercussions. Objectives To evaluate the behavior of Tunisians during the general confinement of 2020. Methods descriptive and analytical study through a questionnaire sent online under the model of “google forms”. Results Our sample is composed of 500 people, mostly women, with an average age of about 40 years, an average to good economic level, and a secondary and higher education level. In the Tunisian family, the most discussed topic during the lockdown is the covid-19 and its evolution in the world and the country. The most avoided subject is the behavior of neighbors. The Tunisian’s main sources of information on covid-19 are television and social networks. The behavior most adopted to avoid contamination is hand washing. Only 2/3 of the group applied the measures announced by the government. A quarter of our sample spent more than 5 hours in front of the computer screen or smartphone. During confinement the most important behaviors are smoking, eating, doing nothing and playing cards. Only 10% of our sample have plans for next year. Conclusions For our sample, covid-19 has greatly transformed the behavior in daily life which has become dominated by anxiety and fear of contamination.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".