Citizenship Education through an Ability Expectation and “Ableism” Lens: The Challenge of Science and Technology and Disabled People
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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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.038 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".