“The world through our eyes and by our voices”: what children say about rights, discrimination and differences, gender, and poverty
Bibliographic record
Abstract
ABSTRACT In the context of the project SMOOTH - Educational Common Spaces, Passing through enclosures and reversing Inequalities (Horizon 2020, European Commission) and the subproject RED - Rights, Equality, Difference - as well as an epistemological, theoretical, methodological and ethical position, that puts in dialogue the Sociology of Childhood and Education Sciences, a qualitative research was carried out with children attending the 2nd Cycle of Basic Education, in a public school in Lisbon, within the subject of Citizenship and Development. A central aim of the Project, which is presented in this paper, is to analyse, from an active listening of the children, their conceptions about rights, discriminations and differences, gender, and poverty, and their lived/attributed subjective meanings. Methodologically, through observation, semi-structured interviews and focus groups, their voices, and by their proposal, materialised in the publication of a podcast episode. Qualitative content analysis enables us to exercise an understanding of what children say about these themes, what they have prioritised, reflected upon, and ignored. Their views about the world must be understood from their biographies and contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".