Citizenship Education through an Ability Expectation and “Ableism” Lens: The Challenge of Science and Technology and Disabled People
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Citizenship education has been debated for some time and has faced various challenges over time. This paper introduces the lens of “ableism” and ability expectations to the citizenship education discourse. The author contends that the cultural dynamic of ability expectations and ableism (not only expecting certain abilities, but also perceiving certain abilities as essential) was one factor that has and will continue to shape citizenship and citizenship education. It focuses on three areas of citizenship education: (a) active citizenship; (b) citizenship education for a diverse population; and (c) global citizenship. It covers two ability-related challenges, namely: disabled people, who are often seen as lacking expected species-typical body abilities, and, advances of science and technology that generate new abilities. The author contends that the impact of ability expectations and ableism on citizenship and citizenship education, locally and in a globalized world, is an important and under-researched area.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it