Bibliographic record
Abstract
The study aims to find out whether pupils of the 2nd grade of selected elementary schools in Prague 4 are able to effectively refine themselves. The main question that this diploma thesis deals with is the question whether pupils at the 2nd grade of elementary schools are equipped with such cognitive competences and vocabulary to handle this difficult role in the form of self-reflection. The sub-objectives identified the views of pupils at the 2nd grade and their teachers on self-esteem as pupils compose every quarter of their achievement and behavior assessments, record their progress and reflect on other areas where they could improve. The data was obtained through an on-line questionnaire survey and was evaluated using descriptive statistics tools. The research was carried out at the above-mentioned elementary school in Prague 4. Out of 211 pupils of the second grade, 184 pupils participated in the research. Overall 9 teachers from the total number of 17 with the approval for the second grade of primary school filled the questionnaire survey. Another type of survey is the analysis of selected quarterly self-evaluation of pupils and subsequent interviews with selected pupils. The results show pupils' incompetence towards a quarterly self-assessment. There is also a problem in the form of...
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".