Perceptions of 8th Grade Students in Middle School towards Citizenship Values
Bibliographic record
Abstract
The principal aim of this study is to highlight how students in 8th grade of middle school perceive the principal concepts present in Citizenship Education (lessons), namely the values of: citizenship, (personal) rights, responsibility, the state, the law, military service, the right to education, the right to vote and participate in the political process, equality and freedom. The study was conducted using a phenomenological reseacrh model/design which is a type of qualitative research method. The participants in the study comprised of students receiving education at middle school level. While the sample group consisted of a total of 6 students, 3 of which were female and 3 of which were male selected using a purposeful sampling method. As a data collection tool, a partially-completed interview form was used prepared in accordance with the aims of the study. The data obtained from these interviews with the participants were then analyzed and interpreted following the steps prescribed in the phenomenological design model. On examining the results of the study, it was observed that both male and female students held similar views with regard to concepts of citienship which corresponded to various perspectives formed in accordance with their own semantic worlds/interpretations of meaning. Their general perceptions towards the key concepts, were seen to correspond to the learning objectives that the school aimed/intended to teach.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".