Bibliographic record
Abstract
The topic of my thesis was make analysis in two selected schools about how children perceive school loading, conditions for teaching and conditions for the rest. I investigated using a questionnaire for children of fifth grades of primary schools, what kind of factors influence their satisfaction with school. The aim of my thesis was to describe the positive and negative effects of selected factors. I made seven hypotheses. Study results confirmed that only 41.05% of the questioned children think that their parents expect from school point of view too much from them. School responsibilities don't stress at all or only a little bit 61.05% of the children. Most of the children 92.63% enjoys attending the school and 73.68% of the children have also indicated that they currently like the school evironment. 87.37% of all questioned children eat in the school canteen. 88.42% of the children found the school desks suitable in the classroom. Less than a quarter of children, 21.05% of the children in the questionnaire said they had been victimized in recent months. For 56.84% of the children is very easy or just easy to talk with the teacher about things that really make them angry or upset at school. 66.32% of children think that teachers are acting fairly with them and 57.89% of the children said that the teachers...
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".